SimTech Publications

C. Rohde and F. Wendt, “Mathematical Justification of a Baer-Nunziato Model for a Compressible Viscous Fluid with Phase Transition.” 2025. [Online]. Available: https://arxiv.org/abs/2504.10161

L. Duvenbeck, C. Riethmüller, and C. Rohde, “Data-driven geometric parameter optimization for PD-GMRES.” 2025. doi: 10.48550/arXiv.2503.09728.

T. Giess and J. Pleiss, “Digitalization of biocatalysis: Best practices to research data management,” in Methods in Enzymology. , Academic Press, 2025. doi: https://doi.org/10.1016/bs.mie.2025.01.040.

R. Strässer, M. Schaller, K. Worthmann, J. Berberich, and F. Allgöwer, “Koopman-based feedback design with stability guarantees,” IEEE Transactions on Automatic Control, vol. 70, Art. no. 1, 2025, doi: 10.1109/TAC.2024.3425770.

M. B. M. Spera, S. Darouich, J. Pleiss, and N. Hansen, “Influence of water content on thermophysical properties of aqueous glyceline solutions predicted by molecular dynamics simulations,” Fluid Phase Equilibria, vol. 592, p. 114324, 2025, doi: https://doi.org/10.1016/j.fluid.2024.114324.

M. Kurz et al., “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems,” Computer Physics Communications, vol. 306, p. 109388, Jan. 2025, doi: 10.1016/j.cpc.2024.109388.

A. Barth and A. Stein, “A stochastic transport problem with Lévy noise: Fully discrete numerical approximation.,” Mathematics and Computers in Simulation, vol. 227, pp. 347–370, 2025, [Online]. Available: https://doi.org/10.1016/j.matcom.2024.07.036

P. Mossier, S. Jöns, S. Chiocchetti, A. D. Beck, and C.-D. Munz, “Numerical simulation of phase transition with the hyperbolic Godunov-Peshkov-Romenski model,” Journal of Computational Physics, vol. 520, p. 113514, Jan. 2025, doi: 10.1016/j.jcp.2024.113514.

P. Palmetshofer, J. Wurst, A. K. Geppert, K. Schulte, G. E. Cossali, and B. Weigand, “Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces,” Journal of Colloid and Interface Science, vol. 682, pp. 413–422, Mar. 2025, doi: 10.1016/j.jcis.2024.11.154.

Z. Askarpour, M. Nottoli, and B. Stamm, “Grassmann Extrapolation for Accelerating Geometry Optimization,” Journal of Chemical Theory and Computation, vol. 21, Art. no. 4, Feb. 2025, doi: 10.1021/acs.jctc.4c01417.

E. Vahabzadeh, I. Buntic, F. Nazari, B. Flemisch, R. Helmig, and V. Niasar, “Applicability of the Vertical Equilibrium model to underground hydrogen injection and withdrawal,” International Journal of Hydrogen Energy, vol. 106, pp. 790–805, 2025, doi: https://doi.org/10.1016/j.ijhydene.2025.01.201.

M. Fleck, R. Katsuta, T. Esper, N. Hansen, and J. Gross, “Gaussian Process-Supported Optimization of the Transferable Anisotropic Mie Potential Force Field for Primary Alkylamines misc,” Industrial & Engineering Chemistry Research, vol. 64, Art. no. 11, Mar. 2025, doi: 10.1021/acs.iecr.4c04170.

V. Korn and K. Pluhackova, “Vastly different energy landscapes of the membrane insertions of monomeric gasdermin D and A3,” Communications Chemistry, vol. 8, Art. no. 1, Feb. 2025, doi: 10.1038/s42004-024-01400-2.

R. Strässer, S. Schlor, and F. Allgöwer, “Decrypting Nonlinearity: Koopman Interpretation and Analysis of Cryptosystems,” Automatica, vol. 173, p. 112022, 2025, doi: 10.1016/j.automatica.2024.112022.

L. Keim and H. Class, “Rayleigh Invariance Allows the Estimation of Effective CO2 Fluxes Due To Convective Dissolution Into Water‐Filled Fractures,” Water Resources Research, vol. 61, Art. no. 2, Jan. 2025, doi: 10.1029/2024wr037778.

F. Fritzen, J. Herb, and S. Sharba, “Thermo-plastic Nonuniform Transformation Field Analysis for eigenstress analysis of materials undergoing laser melt injection,” Computer Methods in Applied Mechanics and Engineering, vol. 433, p. 117487, Jan. 2025, doi: 10.1016/j.cma.2024.117487.

C. Riethmüller, E. Storvik, J. W. Both, and F. A. Radu, “Well-posedness analysis of the Cahn–Hilliard–Biot model,” Nonlinear Analysis: Real World Applications, vol. 84, p. 104271, Aug. 2025, doi: 10.1016/j.nonrwa.2024.104271.

T. Xu, S. Xiao, S. Reuschen, N. Wildt, H.-J. H. Franssen, and W. Nowak, “Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison,” Hydrology and Earth System Sciences.

I. Kröker et al., “Bayesian Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory.,” International Journal for Uncertainty Quantification.

W. Nowak, T. Brünnette, M. Schalkers, and M. Möller, “Overdispersion in gate tomography: Experiments and continuous, two-scale random walk model on the Bloch sphere,” ACM Transactions on Quantum Computing.

F. Ejaz, N. Wildt, T. Wöhling, and W. Nowak, “Estimating total groundwater storage and its associated uncertainty through spatiotemporal Kriging of groundwater-level data,” Journal of Hydrology.

R. Kohlhaas, J. Hommel, F. Weinhardt, H. Class, S. Oladyshkin, and B. Flemisch, “Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation Supported by Bayesian Model Analysis,” Transport in Porous Media.

S. Beck et al., ChoreoVis: Planning and Assessing Formations in Dance Choreographies, vol. 43. The Eurographics Association and John Wiley & Sons Ltd., 2024. doi: 10.1111/cgf.15104.

A. Beyer, V. Wagner, V. Klingel, M. Heymann, and N. Radde, Extending a synthetic Notch morphogen circuit model to construct 2D cell structures. in IFAC-PapersOnLine. Elsevier, 2024.

J. Meißner, D. Göddeke, and M. Herschel, Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations. 2024.

P. Conti et al., “VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification.” 2024.

J. Pelzer, “Models and Prepared Datasets for the First Stage : based on the Single Heat Pump Simulation Datasets.” 2024. doi: 10.18419/darus-3690.

R. R. Herkert, “Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data.” 2024. doi: 10.18419/darus-4227.

L. Möller, P. Tilli, N. T. Vu, and S. Padó, “Explaining Vision-Language Similarities in Dual Encoders with Feature-Pair Attributions.” 2024. [Online]. Available: https://arxiv.org/abs/2408.14153

T. Munz-Körner and D. Weiskopf, “Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections.” DaRUS, 2024. doi: 10.18419/DARUS-3553.

S. Tovey, C. Holm, and M. Spannowsky, “Generating Reservoir State Descriptions with Random Matrices.” Apr. 2024. doi: arXiv:2404.07278.

J. Kneifl and P. Conti, “VENI-VINDy-VICI: 0.1.7.” Zenodo, 2024. doi: 10.5281/ZENODO.13120249.

J. Rettberg, J. Kneifl, J. Herb, P. Buchfink, J. Fehr, and B. Haasdonk, “Data-driven identification of latent port-Hamiltonian systems.” 2024. doi: https://doi.org/10.48550/arXiv.2408.08185.

P. Stärk and A. Schlaich, “Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries.” 2024. doi: 10.18419/darus-3149.

J. Pelzer, “Models and Prepared Datasets for the Second Stage : based on the Two Heat Pumps Simulation Datasets.” 2024. doi: 10.18419/darus-3689.

F. Uhlig, S. Tovey, and C. Holm, “Emergence of Accurate Atomic Energies from Machine Learned Noble Gas Potentials.” 2024.

F. Bechler, “Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios.” 2024. doi: 10.18419/darus-4116.

M. Alvarez Chaves, H. Gupta, U. Ehret, and A. Guthke, “Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data.” 2024. doi: 10.18419/darus-4087.

J. Pelzer, “Raw Simulation Datasets for Extending Heat Plumes.” 2024. doi: 10.18419/darus-4133.

P. L. Reiser, J. E. Aguilar, A. Guthke, and P.-C. Bürkner, “Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference.” 2024. doi: 10.18419/darus-4093.

S. Tovey, C. Lohrmann, and C. Holm, “Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning.” 2024. doi: https://doi.org/10.48550/arXiv.2404.01999.

S. Tovey et al., “SwarmRL: Building the Future of Smart Active Systems.” Apr. 2024. doi: https://doi.org/10.48550/arXiv.2404.16388.

J. Kneifl, J. Fehr, S. L. Brunton, and J. N. Kutz, “Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks.” 2024.

M. S. Feinler and B. N. Hahn, “Learned RESESOP for solving inverse problems with inexact forward operator.” 2024. [Online]. Available: https://arxiv.org/abs/2410.23061

C. Homs Pons and R. Lautenschlager, “Replication Data for: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models.” 2024. doi: 10.18419/darus-4031.

L. Keim and H. Class, “Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures.” 2024. doi: 10.18419/darus-4143.

L. Keim and H. Class, “Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures.” 2024. doi: 10.18419/darus-4089.

B. Röder, H. Ebel, and P. Eberhard, “Motion and Motor-Current Data of a Four-Bar Linkage.” 2024. doi: 10.18419/darus-4152.

S. Roy, F. Wang, and D. Gläser, “Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories.” 2024. doi: 10.18419/darus-3785.

T. Munz-Körner and D. Weiskopf, “Supplemental Material for “Exploring Visual Quality of Multidimensional Time Series Projections.”” DaRUS, 2024. doi: 10.18419/DARUS-3965.

J. Berberich, D. Fink, D. Pranjić, C. Tutschku, and C. Holm, “Training robust and generalizable quantum models.” 2024. doi: 10.48550/arXiv.2311.11871.

P. Palmetshofer and J. Wurst, “Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces.” 2024. doi: 10.18419/darus-4178.

R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, and J. Fehr, “Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems.” 2024. [Online]. Available: https://arxiv.org/abs/2405.10465

L. Keim et al., “DuMux 3.9.0.” DaRUS, 2024. doi: 10.18419/DARUS-4351.

P. Rodegast, S. Maier, J. Kneifl, and J. Fehr, “On using Machine Learning Algorithms for Motorcycle Collision Detection.” 2024.

R. R. Herkert, “Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems.” 2024. doi: 10.18419/darus-4185.

J. M. Magiera, “Replication Data for: Constraint-aware neural networks for Riemann problems.” 2024. doi: 10.18419/darus-3869.

K. Worthmann, R. Strässer, M. Schaller, J. Berberich, and F. Allgöwer, “Data-driven MPC with terminal conditions in the Koopman framework,” in Proc. 63rd IEEE Conference on Decision and Control (CDC), Milan, Italy, 2024, pp. 146–151. doi: 10.1109/CDC56724.2024.10886773.

R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, and J. Fehr, “Randomized Symplectic Model Order Reduction for Hamiltonian Systems,” in Large-Scale Scientific Computations, I. Lirkov and S. Margenov, Eds., Cham: Springer Nature Switzerland, 2024, pp. 99–107.

F. Zermiani, P. Dhar, E. Sood, F. Kögel, A. Bulling, and M. Wirzberger, “InteRead: An Eye Tracking Dataset of Interrupted Reading,” in Proc. 31st Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024, pp. 9154–9169. [Online]. Available: https://aclanthology.org/2024.lrec-main.802/

X. Yu, B. Lee, and M. Sedlmair, “Design Space of Visual Feedforward And Corrective Feedback in XR-Based Motion Guidance Systems,” in Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI), ACM, 2024, pp. 1–7. doi: https://doi.org/10.1145/3613904.3642143.

A. Penzkofer, L. Shi, and A. Bulling, “VSA4VQA: Scaling A Vector Symbolic Architecture To Visual Question Answering on Natural Images,” in Proc. 46th Annual Meeting of the Cognitive Science Society (CogSci), 2024.

S. Scheurer and W. Nowak, “Neural Process Regression,” in geoENV2024 Book of Abstracts, Chania, Crete, GR: Creative Commons Licence BY-NC-ND 4.0, Jun. 2024, pp. 155–156.

J. Elenter, L. F. O. Chamon, and A. Ribeiro, “Near-optimal solutions of constrained learning problems,” in International Conference on Learning Representations~(ICLR), 2024.

H. Häring, D. Gramlich, C. Ebenbauer, and C. W. Scherer, “Trajectory Generation for the Unicycle Model Using Semidefinite Relaxations,” in accepted for publication, 2024.

M. Breyer, A. Van Craen, and D. Pflüger, “Evaluation of SYCL’s Different Data Parallel Kernels,” in Proceedings of the 12th International Workshop on OpenCL and SYCL, in IWOCL ’24. Chicago, IL, USA: Association for Computing Machinery, Apr. 2024, pp. 1–4. doi: 10.1145/3648115.3648130.

P. Tilli and N. T. Vu, “Intrinsic Subgraph Generation for Interpretable Graph Based Visual Question Answering,” in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, and N. Xue, Eds., Torino, Italia: ELRA and ICCL, May 2024, pp. 9204–9223. [Online]. Available: https://aclanthology.org/2024.lrec-main.806

C. Krauter, K. Angerbauer, A. Sousa Calepso, A. Achberger, S. Mayer, and M. Sedlmair, “Sitting Posture Recognition and Feedback: A Literature Review,” in CHI ’24: Proceedings of the CHI Conference on Human Factors in Computing Systems, in CHI. NY: ACM, 2024. doi: 10.1145/3613904.3642657.

X. Chu, W. Wang, and B. Weigand, “An Investigation of Information Flux between Turbulent Boundary Layer and Porous Medium,” in High Performance Computing in Science and Engineering ’22, 2024. doi: 10.1007/978-3-031-46870-4_13.

M. Nottoli, M. F. Herbst, A. Mikhalev, A. Jha, F. Lipparini, and B. Stamm, “Replication Data for: “ddX: Polarizable Continuum Solvation from Small Molecules to Proteins,”” 2024, doi: 10.18419/DARUS-4030.

X. Yu et al., “PerSiVal: On-Body AR Visualization of Biomechanical Arm Simulations,” IEEE Computer Graphics and Applications, pp. 1–14, 2024, doi: 10.1109/MCG.2024.3494598.

L.-F. Zhu et al., “Melting properties of the refractory metals V and W and the binary VW alloy fully from first principles,” Physical Review B, vol. 109, Art. no. 9, Mar. 2024, doi: 10.1103/physrevb.109.094110.

Y. Ou, Y. Ikeda, L. Scholz, S. Divinski, F. Fritzen, and B. Grabowski, “Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials,” Physical Review Materials, vol. 8, Art. no. 11, Nov. 2024, doi: 10.1103/physrevmaterials.8.115407.

M. Fleck, S. Darouich, N. Hansen, and J. Gross, “TAMie Force Field for Alkanethiols: Multifidelity Gaussian Processes for Dealing with Scarce Experimental Data,” The Journal of Physical Chemistry B, vol. 128, Art. no. 39, Sep. 2024, doi: 10.1021/acs.jpcb.4c04456.

Z. Wu et al., “Alchemlyb: The Simple Alchemistry Library,” Journal of Open Source Software, vol. 9, Art. no. 101, Sep. 2024, doi: 10.21105/joss.06934.

F. Kempter, L. Lantella, N. Stutzig, J. Fehr, and T. Siebert, “Role of Rotated Head Postures on Volunteer Kinematics and Muscle Activity in Braking Scenarios Performed on a Driving Simulator,” Annals of Biomedical Engineering, vol. 51, pp. 771–782, Apr. 2024, doi: 10.1007/s10439-022-03087-9.

R. Blickhan and T. Siebert, “Note on hydrostatic skeletons: Muscles operating within a pressurized environment,” Biology Open, p. bio, May 2024, doi: 10.1242/bio.060318.

M. Fleck, S. Darouich, N. Hansen, and J. Gross, “Transferable Anisotropic Mie Potential Force Field for Alkanediols,” The Journal of Physical Chemistry B, vol. 128, Art. no. 19, May 2024, doi: 10.1021/acs.jpcb.4c00962.

S. Weirich, D. Kusevic, P. Schnee, J. Reiter, J. Pleiss, and A. Jeltsch, “Discovery of NSD2 non-histone substrates and design of a super-substrate,” Communications Biology, vol. 7, Art. no. 1, 2024, doi: 10.1038/s42003-024-06395-z.

M. Pechlaner, W. F. van Gunsteren, L. J. Smith, B. Stankiewicz, L. N. Wirz, and N. Hansen, “Molecular Structure Refinement Based on Residual Dipolar Couplings: A Comparison of the Molecular Rotational-Sampling Method with the Alignment-Tensor Approach,” Journal of Chemical Information and Modeling, vol. 64, Art. no. 12, Jun. 2024, doi: 10.1021/acs.jcim.4c00416.

A. Schneider, T. B. Lystbæk, D. Markthaler, N. Hansen, and B. Hauer, “Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis,” Nature Communications, vol. 15, Art. no. 1, Jun. 2024, doi: 10.1038/s41467-024-48993-9.

A. Schlaich, J. O. Daldrop, B. Kowalik, M. Kanduč, E. Schneck, and R. R. Netz, “Water Structuring Induces Nonuniversal Hydration Repulsion between Polar Surfaces: Quantitative Comparison between Molecular Simulations, Theory, and Experiments,” Langmuir, vol. 40, Art. no. 15, Apr. 2024, doi: 10.1021/acs.langmuir.3c03656.

T. Dai et al., “Modeling and Experimental Validation of High‐Flow Fluid‐Driven Membrane Valves for Hyperactuated Soft Robots,” Advanced Intelligent Systems, May 2024, doi: 10.1002/aisy.202300864.

S. Xiao and W. Nowak, “Failure probability estimation with failure samples: An extension of the two-stage Markov chain Monte Carlo simulation,” Mechanical Systems and Signal Processing, vol. 212, p. 111300, Feb. 2024, doi: https://doi.org/10.1016/j.ymssp.2024.111300.

M. Seidel, M. Hertneck, P. Yu, S. Linsenmayer, D. V. Dimarogonas, and F. Allgöwer, “A Window-based Periodic Event-triggered Consensus Scheme for Multi-agent Systems,” IEEE Transactions on Control of Network Systems, vol. 11, Art. no. 1, Mar. 2024, doi: 10.1109/tcns.2023.3285863.

M. Gao, P. Mossier, and C.-D. Munz, “Shock capturing for a high-order ALE discontinuous Galerkin method with applications to fluid flows in time-dependent domains,” Computers & fluids, vol. 269, p. 106124, Jan. 2024, doi: 10.1016/j.compfluid.2023.106124.

A. Kharitenko and C. W. Scherer, “On the exactness of a stability test for Lur’e systems with slope-restricted nonlinearities,” IEEE Transactions on Automatic Control, 2024, doi: 10.1109/TAC.2024.3362859.

M. Rosenfelder, H. Ebel, and P. Eberhard, “Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects,” Robotica, vol. 42, Art. no. 2, 2024, doi: 10.1017/S0263574723001704.

C. Lohrmann, C. Holm, and S. S. Datta, “Influence of bacterial swimming and hydrodynamics on infection by phages,” bioRxiv, Jan. 2024, doi: 10.1101/2024.01.15.575727.

M. Millard, D. W. Franklin, and W. Herzog, “A three filament mechanistic model of musculotendon force and impedance,” eLife Computational and Systems Biologiy, 2024, doi: https://doi.org/10.7554/eLife.88344.3.

T. B. Beigl et al., “BCL-2 and BOK regulate apoptosis by interaction of their C-terminal transmembrane domains,” EMBO Reports, vol. 25, Art. no. 9, 2024, doi: 10.1038/s44319-024-00206-6.

M. Millard, N. Stutzig, J. Fehr, and T. Siebert, “A benchmark of muscle models to length changes great and small,” ScienceDirect Elsevier, Sep. 2024, doi: 10.1016/j.jmbbm.2024.106740.

A. Krischok, B. Yaraguntappa, and M.-A. Keip, “Fast implicit update schemes for Cahn–Hilliard-type gradient flow in the context of Fourier-spectral methods,” Computer Methods in Applied Mechanics and Engineering, vol. 431, p. 117220, 2024, doi: https://doi.org/10.1016/j.cma.2024.117220.

H. Mandler and B. Weigand, “A review and benchmark of feature importance methods for neural networks,” ACM Computing Surveys, vol. 56, Art. no. 12, Oct. 2024, doi: https://doi.org/10.1145/3679012.

X. Xu, X. Zhang, A. Ruban, S. Schmauder, and B. Grabowski, “Accurate complex-stacking-fault Gibbs energy in Ni3Al at high temperatures,” Scripta Materialia, vol. 242, p. 115934, Mar. 2024, doi: 10.1016/j.scriptamat.2023.115934.

G. M. Muralikrishna et al., “Microstructure stability and self-diffusion in the equiatomic HfScTiZr HCP multi-principal element alloy,” Journal of Alloys and Compounds, vol. 976, p. 173196, Mar. 2024, doi: 10.1016/j.jallcom.2023.173196.

N. Zotov, K. Gubaev, J. Wörner, and B. Grabowski, “Moment tensor potential for static and dynamic investigations of screw dislocations in bcc Nb,” Modelling and Simulation in Materials Science and Engineering, vol. 32, Art. no. 3, Mar. 2024, doi: 10.1088/1361-651x/ad2d68.

P. Srinivasan, D. Demuriya, B. Grabowski, and A. Shapeev, “Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom,” npj Computational Materials, vol. 10, Art. no. 1, Feb. 2024, doi: 10.1038/s41524-024-01222-9.

J. C. del Valle, P. Redondo, J. Kästner, and G. Molpeceres, “Formation of the Interstellar Sugar Precursor, (Z)-1,2-Ethenediol, through Radical Reactions on Dust Grains,” Astrophys. J., vol. 974, p. 129, 2024, doi: 10.3847/1538-4357/ad6f9a.

A. Bøllingtoft, P. L. Bjerg, V. Rønde, N. Tuxen, W. Nowak, and M. Troldborg, “Quantification of contaminant mass discharge and uncertainties: Method and challenges in application at contaminated sites,” Journal of Contaminant Hydrology, vol. 268, p. 104453, Nov. 2024, doi: 10.1016/j.jconhyd.2024.104453.

A. Schlaich, M. Vandamme, M. Plazanet, and B. Coasne, “Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials,” ACS Nano, Sep. 2024, doi: 10.1021/acsnano.4c04190.

C. Coenning, V. Rieg, T. Siebert, and V. Wank, “Impact of contraction intensity and ankle joint angle on calf muscle fascicle length and pennation angle during isometric and dynamic contractions,” Scientific Reports, vol. 14, Art. no. 1, Oct. 2024, doi: 10.1038/s41598-024-75795-2.

A. Reinauer, S. Kondrat, and C. Holm, “Electrolytes in conducting nanopores: Revisiting constant charge and constant potential simulations,” The Journal of chemical physics, vol. 161, Art. no. 10, Sep. 2024, doi: 10.1063/5.0226959.

J. Berberich, D. Fink, and C. Holm, “Robustness of quantum algorithms against coherent control errors,” Physical Review A, vol. 109, Art. no. 1, Jan. 2024, doi: 10.1103/PhysRevA.109.012417.

B. Bursik, R. Stierle, A. Schlaich, P. Rehner, and J. Gross, “Viscosities of inhomogeneous systems from generalized entropy scaling,” Physics of Fluids, vol. 36, Art. no. 4, Apr. 2024, doi: 10.1063/5.0189902.

H. F. Carvalho, L. Mestrom, U. Hanefeld, and J. Pleiss, “Beyond the Chemical Step: The Role of Substrate Access in Acyltransferase from Mycobacterium smegmatis,” ACS Catal., vol. 14, pp. 10077–10088, Jun. 2024, doi: 10.1021/acscatal.4c00812.

F. Neubauer, P. Bredl, M. Xu, K. Patel, J. Pleiss, and B. Uekermann, “MetaConfigurator: A User-Friendly Tool for Editing Structured Data Files,” Datenbank-Spektrum, vol. 24, pp. 161–169, 2024, doi: 10.1007/s13222-024-00472-7.

M. Pechlaner, W. F. van Gunsteren, L. J. Smith, and N. Hansen, “Molecular structure refinement based on residual dipolar couplings using magnetic-field rotational sampling,” The Journal of Chemical Physics, vol. 161, Art. no. 4, Jul. 2024, doi: 10.1063/5.0203153.

W.-P. Düll, B. Hilder, and G. Schneider, “Analysis of the embedded cell method in 2D for the numerical homogenization of metal-ceramic composite materials,” Journal of Applied Analysis, 2024, doi: doi:10.1515/jaa-2023-0124.

A. Windels, J. Franceus, J. Pleiss, and T. Desmet, “CANDy: Automated analysis of domain architectures in carbohydrate-active enzymes,” PLOS ONE, vol. 19, Art. no. 7, Jul. 2024, doi: 10.1371/journal.pone.0306410.

J. Chen, W. Luo, H. Ebel, and P. Eberhard, “Optimization-Based Trajectory Planning for Transport Collaboration of Heterogeneous Systems,” at - Automatisierungstechnik, vol. 72, Art. no. 2, 2024, doi: 10.1515/auto-2023-0078.

A. S. Sahrmann, L. Vosse, T. Siebert, G. G. Handsfield, and O. Röhrle, “3D ultrasound-based determination of skeletal muscle fascicle orientations,” Biomechanics and Modeling in Mechanobiology, Mar. 2024, doi: 10.1007/s10237-024-01837-3.

J. Potyka and K. Schulte, “A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions,” International Journal of Multiphase Flow, vol. 170, p. 104654, Jan. 2024, doi: 10.1016/j.ijmultiphaseflow.2023.104654.

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V. Korn and K. Pluhackova, “Not sorcery after all: Roles of multiple charged residues in membrane insertion of gasdermin-A3,” Frontiers in Cell and Developmental Biology, vol. 10, 2022, doi: 10.3389/fcell.2022.958957.

N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, and N. Hansen, “Predicting and Rationalizing the Soret Coefficient of Binary Lennard-Jones Mixtures in the Liquid State,” Advanced Theory and Simulations, vol. 5, Art. no. 11, Jul. 2022, doi: 10.1002/adts.202200311.

S. V. Dastjerdi, N. Karadimitriou, S. M. Hassanizadeh, and H. Steeb, “Experimental Evaluation of Fluid Connectivity in Two-Phase Flow in Porous Media During Drainage,” Water Resources Research, vol. 58, Art. no. 11, Nov. 2022, doi: 10.1029/2022wr033451.

L. Chavez Rodriguez, A. González-Nicolás, B. Ingalls, W. Nowak, S. Xiao, and H. Pagel, “Optimal design of experiments to improve the characterization of atrazine degradation pathways in soil,” European Journal of Soil Science, vol. 73, Art. no. 1, 2022, doi: 10.1111/ejss.13211.

M. Boon and H. Hajibeygi, “Experimental characterization of H2/water multiphase flow in heterogeneous sandstone rock at the core scale relevant for underground hydrogen storage (UHS),” Scientific Reports, vol. 12, Art. no. 1, 2022, doi: 10.1038/s41598-022-18759-8.

M. Boon, S. K. Matthäi, Q. Shao, A. A. Youssef, A. Mishra, and S. M. Benson, “Anisotropic rate-dependent saturation functions for compositional simulation of sandstone composites,” Journal of Petroleum Science and Engineering, vol. 209, p. 109934, 2022, doi: 10.1016/j.petrol.2021.109934.

P. Schnee et al., “Mechanistic basis of the increased methylation activity of the SETD2 protein lysine methyltransferase towards a designed super-substrate peptide,” Communications Chemistry, vol. 5, Art. no. 1, 2022, doi: 10.1038/s42004-022-00753-w.

T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf, “Visualization-based improvement of neural machine translation,” Computers & Graphics, vol. 103, pp. 45–60, 2022, doi: https://doi.org/10.1016/j.cag.2021.12.003.

A. Kharitenko and C. W. Scherer, “On the exactness of a stability test for Lur’e systems with slope-restricted nonlinearities,” Oct. 2022.

K. Cheng, L. Z, S. Xiao, S. Oladyshkin, and W. Nowak, “Mixed covariance function Kriging model for uncertainty quantification,” International Journal for Uncertainty Quantification, vol. 12, Art. no. 3, 2022, doi: 10.1615/Int.J.UncertaintyQuantification.2021035851.

Y. S. R. Krishna, N. Seetha, and S. M. Hassanizadeh, “Experimental and numerical investigation of the effect of temporal variation in ionic strength on colloid retention and remobilization in saturated porous media,” Journal of Contaminant Hydrology, vol. 251, p. 104079, Dec. 2022, doi: 10.1016/j.jconhyd.2022.104079.

A. Rodriguez-Pretelin, E. Morales-Casique, and W. Nowak, “Optimization-based clustering of random fields for computationally efficient and goal-oriented uncertainty quantification: concept and demonstration for delineation of wellhead protection areas in transient aquifers,” Advances in Water Resources, vol. 162, p. 104146, 2022, doi: 10.1016/j.advwatres.2022.104146.

V. Wagner, B. Castellaz, M. Oesting, and N. Radde, “Quasi-Entropy Closure: A Fast and Reliable Approach to Close the Moment Equations of the Chemical Master Equation,” Bioinformatics, vol. 38, Art. no. 18, 2022, doi: 10.1093/bioinformatics/btac501.

C. W. Scherer, “Dissipativity, Convexity and Tight O\textquotesingleShea-Zames-Falb Multipliers for Safety Guarantees,” IFAC-PapersOnLine, vol. 55, Art. no. 30, 2022, doi: 10.1016/j.ifacol.2022.11.044.

C. Scherer, “Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnections,” IEEE Control Systems Magazine (to appear), 2022, [Online]. Available: https://arxiv.org/abs/2105.07401

T. Martin and F. Allgöwer, “Data-driven system analysis of nonlinear systems using polynomial approximation,” IEEE Trans. Automat. Control (accepted), 2022.

A. Kanan, E. Polukhov, M.-A. Keip, L. Dorfmann, and M. Kaliske, “Computational material stability analysis in finite thermo-electro-mechanics,” Mechanics research communications, vol. 121, Art. no. April, 2022, doi: 10.1016/j.mechrescom.2022.103867.

N. Zotov and B. Grabowski, “Entropy of kink pair formation on screw dislocations: an accelerated molecular dynamics study,” Modelling and Simulation in Materials Science and Engineering, vol. 30, Art. no. 6, Jun. 2022, doi: 10.1088/1361-651x/ac7ac9.

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L. Neumaier, J. Schilling, A. Bardow, and J. Gross, “Dielectric constant of mixed solvents based on perturbation theory,” Fluid Phase Equilibria, vol. 555, p. 113346, Apr. 2022, doi: 10.1016/j.fluid.2021.113346.

T. van Westen, M. Hammer, B. Hafskjold, A. Aasen, J. Gross, and Ø. Wilhelmsen, “Perturbation theories for fluids with short-ranged attractive forces: A case study of the Lennard-Jones spline fluid,” The Journal of Chemical Physics, vol. 156, Art. no. 10, Mar. 2022, doi: 10.1063/5.0082690.

R. Cui, S. M. Hassanizadeh, and S. Sun, “Pore-network modeling of flow in shale nanopores : Network structure, flow principles, and computational algorithms,” Earth science reviews, vol. 234, Art. no. November, 2022, doi: 10.1016/j.earscirev.2022.104203.

D. Lee, N. Karadimitriou, M. Ruf, and H. Steeb, “Detecting micro fractures: a comprehensive comparison of conventional and machine-learning-based segmentation methods,” Solid Earth, vol. 13, pp. 1475–1494, 2022, doi: 10.5194/se-13-1475-2022.

R. Merkle and A. Barth, “Multilevel Monte Carlo estimators for elliptic PDEs with Lévy-type diffusion coefficient,” BIT Numerical Mathematics, vol. 62, pp. 1279–1317, 2022, doi: 10.1007/s10543-022-00912-4.

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D. Markthaler, M. Fleck, B. Stankiewicz, and N. Hansen, “Exploring the Effect of Enhanced Sampling on Protein Stability Prediction,” Journal of Chemical Theory and Computation, vol. 18, Art. no. 4, Mar. 2022, doi: 10.1021/acs.jctc.1c01012.

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S. Hermann and J. Fehr, “Documenting research software in engineering science,” Scientific Reports, vol. 12, Art. no. 1, Apr. 2022, doi: 10.1038/s41598-022-10376-9.

D. Markthaler, H. Kraus, and N. Hansen, “Binding free energies for the SAMPL8 CB8 “Drugs of Abuse” challenge from umbrella sampling combined with Hamiltonian replica exchange,” Journal of Computer-Aided Molecular Design, vol. 36, pp. 1–9, 2022, doi: 10.1007/s10822-021-00439-w.

H. Mandler and B. Weigand, “On frozen-RANS approaches in data-driven turbulence modeling: Practical relevance of turbulent scale consistency during closure inference and application,” International Journal of Heat and Fluid Flow, vol. 97, p. 109017, 2022, doi: https://doi.org/10.1016/j.ijheatfluidflow.2022.109017.

B. Maier and M. Schulte, “Mesh generation and multi-scale simulation of a contracting muscle–tendon complex,” Journal of Computational Science, vol. 59, p. 101559, 2022, doi: https://doi.org/10.1016/j.jocs.2022.101559.

C. Arndt, A. Denker, J. Nickel, J. Leuschner, M. Schmidt, and G. Rigaud, “In Focus - hybrid deep learning approaches to the HDC2021 challenge,” Inverse Problems and Imaging, vol. 0, Art. no. 0, 2022, doi: 10.3934/ipi.2022061.

H.-f. Hsueh, A. Guthke, T. Wöhling, and W. Nowak, “Diagnosis of model-structural errors with a sliding time-window Bayesian analysis,” Water Resources Research, vol. 58, p. e2021WR030590, 2022, doi: doi:10.1029/2021WR030590.

M. Gültig, J. P. Range, B. Schmitz, and J. Pleiss, “Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML,” Journal of Chemical & Engineering Data, vol. 67, Art. no. 11, 2022, doi: 10.1021/acs.jced.2c00391.

S. Gravelle, C. Holm, and A. Schlaich, “Transport of thin water films: from thermally activated random walks to hydrodynamics,” The Journal of Chemical Physics, 2022, doi: 10.1063/5.0099646.

I. Kröker and S. Oladyshkin, “Arbitrary Multi-Resolution Multi-Wavelet-based Polynomial Chaos Expansion for Data-Driven Uncertainty Quantification,” Reliability Engineering & System Safety, vol. 222, p. 108376, 2022, doi: 10.1016/j.ress.2022.108376.

M. Gao, T. Kuhn, and C.-D. Munz, “On the investigation of oblique shock‐wave/turbulent boundary‐layer interactions with a high‐order discontinuous Galerkin method,” International Journal for Numerical Methods in Fluids, vol. 94, Art. no. 8, Apr. 2022, doi: 10.1002/fld.5091.

L. Hashemi, M. Boon, W. Glerum, R. Farajzadeh, and H. Hajibeygi, “A comparative study for H2–CH4 mixture wettability in sandstone porous rocks relevant to underground hydrogen storage,” Advances in Water Resources, vol. 163, p. 104165, 2022, doi: 10.1016/j.advwatres.2022.104165.

M. Fernández, F. Fritzen, and O. Weeger, “Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials,” International Journal for Numerical Methods in Engineering, vol. 123, Art. no. 2, 2022, doi: 10.1002/nme.6869.

P. Rehner, T. van Westen, and J. Gross, “Equation of state and Helmholtz energy functional for fused heterosegmented hard chains,” Physical Review E, Mar. 2022, doi: 10.1103/PhysRevE.105.034110.

H. Eschmann, H. Ebel, and P. Eberhard, “Exploration-Exploitation-Based Trajectory Tracking of Mobile Robots Using Gaussian Processes and Model Predictive Control,” Robotica, vol. 41, Art. no. 10, 2022, doi: 10.1017/S0263574723000863.

J. Kneifl, J. Hay, and J. Fehr, “Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme,” IFAC-PapersOnLine, vol. 55, Art. no. 20, 2022, doi: 10.1016/j.ifacol.2022.09.109.

X. Zhang, S. V. Divinski, and B. Grabowski, “Ab initio prediction of vacancy energetics in HCP Al-Hf-Sc-Ti-Zr high entropy alloys and the subsystems,” Acta Materialia, vol. 227, p. 117677, Apr. 2022, doi: 10.1016/j.actamat.2022.117677.

R. U. Stelzer, Y. Ikeda, P. Srinivasan, T. S. Lehmann, B. Grabowski, and R. Niewa, “Li5Sn, the Most Lithium-Rich Binary Stannide: A Combined Experimental and Computational Study,” Journal of the American Chemical Society, vol. 144, Art. no. 16, Apr. 2022, doi: 10.1021/jacs.1c10640.

M. Oesting and K. Strokorb, “A Comparative Tour through the Simulation Algorithms for Max-Stable Processes,” Statistical Science, vol. 37, Art. no. 1, 2022, doi: 10.1214/20-STS820.

J. S. Lee, W.-S. Ko, and B. Grabowski, “Atomistic simulations of the deformation behavior of an Nb nanowire embedded in a NiTi shape memory alloy,” Acta Materialia, vol. 228, p. 117764, Apr. 2022, doi: 10.1016/j.actamat.2022.117764.

A. L. Gert, B. V. Ehinger, S. Timm, T. C. Kietzmann, and P. König, “WildLab: A naturalistic free viewing experiment reveals previously unknown electroencephalography signatures of face processing,” European Journal of Neuroscience, vol. 56, Art. no. 11, Nov. 2022, doi: 10.1111/ejn.15824.

Q. Shao, M. Boon, A. Youssef, K. Kurtev, S. M. Benson, and S. K. Matthai, “Modelling CO2 plume spreading in highly heterogeneous rocks with anisotropic, rate-dependent saturation functions: A field-data based numeric simulation study of Otway,” International Journal of Greenhouse Gas Control, vol. 119, p. 103699, 2022, doi: 10.1016/j.ijggc.2022.103699.

V. Vaikuntanathan et al., “An Analytical Study on the Mechanism of Grouping of Droplets,” Fluids, vol. 7, Art. no. 5, 2022, doi: 10.3390/fluids7050172.

T. Yi, X. Chu, B. Wang, J. Wu, and G. Yang, “Numerical simulation of single bubble evolution in low gravity with fluctuation,” International Communications in Heat and Mass Transfer, vol. 130, p. 105828, Jan. 2022, doi: 10.1016/j.icheatmasstransfer.2021.105828.

X. Chu et al., “Celebration of Professor Bernhard Weigand on his 60th birthday,” International Journal of Heat and Mass Transfer, vol. 188, p. 122626, Jun. 2022, doi: 10.1016/j.ijheatmasstransfer.2022.122626.

A. Schwarz, P. Kopper, J. Keim, H. Sommerfeld, C. Koch, and A. Beck, “A neural network based framework to model particle rebound and fracture,” Wear, vol. 508-509, p. 204476, Nov. 2022, doi: 10.1016/j.wear.2022.204476.

M. Kurz, P. Offenhäuser, D. Viola, O. Shcherbakov, M. Resch, and A. Beck, “Deep reinforcement learning for computational fluid dynamics on HPC systems,” Journal of Computational Science, vol. 65, p. 101884, Nov. 2022, doi: 10.1016/j.jocs.2022.101884.

S. Frey et al., “Visual Analysis of Two-Phase Flow Displacement Processes in Porous Media,” Computer graphics forum, vol. 41, Art. no. 1, 2022, doi: 10.1111/cgf.14432.

M. Ibach, V. Vaikuntanathan, A. Arad, D. Katoshevski, J. B. Greenberg, and B. Weigand, “Investigation of droplet grouping in monodisperse streams by direct numerical simulations,” Physics of Fluids, vol. 34, Art. no. 8, 2022, doi: 10.1063/5.0097551.

C. Kessler et al., “Influence of layer slipping on adsorption of light gases in covalent organic frameworks: A combined experimental and computational study,” Microporous and Mesoporous Materials, vol. 336, p. 111796, May 2022, doi: 10.1016/j.micromeso.2022.111796.

D. Holzmüller and I. Steinwart, “Training two-layer ReLU networks with gradient descent is inconsistent,” Journal of Machine Learning Research, vol. 23, Art. no. 181, 2022, [Online]. Available: http://jmlr.org/papers/v23/20-830.html

F. Kempter, L. Lantella, N. Stutzig, J. Fehr, and T. Siebert, “Role of Rotated Head Postures on Volunteer Kinematics and Muscle Activity in Braking Scenarios Performed on a Driving Simulator,” Annals of Biomedical Engineering, vol. 51, Art. no. 4, 2022, doi: 10.1007/s10439-022-03087-9.

M. S. Walczak, H. Erfani, N. K. Karadimitriou, I. Zarikos, S. M. Hassanizadeh, and V. Niasar, “Experimental Analysis of Mass Exchange Across a Heterogeneity Interface: Role of Counter-Current Transport and Non-Linear Diffusion,” Water Resources Research, vol. 58, Art. no. 6, Jun. 2022, doi: 10.1029/2021wr030426.

E. de Botton et al., “An investigation of grouping of two falling dissimilar droplets using the homotopy analysis method,” Applied Mathematical Modelling, vol. 104, pp. 486–498, 2022, doi: 10.1016/j.apm.2021.12.001.

J. Range et al., “EnzymeML—a data exchange format for biocatalysis and enzymology,” The FEBS Journal, vol. 289, Art. no. 19, Oct. 2022, doi: https://doi.org/10.1111/febs.16318.

C. A. Rösinger and C. W. Scherer, “Gain-Scheduling Controller Synthesis for Networked Systems with Full Block Scalings,” Oct. 2022.

H. Mandler and B. Weigand, “A realizable and scale-consistent data-driven non-linear eddy viscosity modeling framework for arbitrary regression algorithms,” International Journal of Heat and Fluid Flow, vol. 97, p. 109018, 2022, doi: https://doi.org/10.1016/j.ijheatfluidflow.2022.109018.

V. Zaverkin, D. Holzmüller, R. Schuldt, and J. Kästner, “Predicting properties of periodic systems from cluster data: A case study of liquid water,” The Journal of Chemical Physics, vol. 156, Art. no. 11, 2022, doi: 10.1063/5.0078983.

V. Zaverkin, J. Netz, F. Zills, A. Köhn, and J. Kästner, “Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments,” Journal of Chemical Theory and Computation, vol. 18, pp. 1–12, 2022, doi: 10.1021/acs.jctc.1c00853.

E. Sood, F. Kögel, P. Müller, D. Thomas, M. Bâce, and A. Bulling, “Multimodal Integration of Human-Like Attention in Visual Question Answering,” Oct. 2021. [Online]. Available: https://arxiv.org/pdf/2109.13139.pdf

F. Grioui and T. Blascheck, Study of Heart Rate Visualizations on a Virtual Smartwatch. ACM, 2021. doi: https://doi.org/10.1145/3489849.3489913.

A. Baier, Z. Boukhers, and S. Staab, “Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction,” 2021. [Online]. Available: http://arxiv.org/abs/2103.06727

I. Banerjee, “Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data : modeling data and Post-processing codes for the manuscript.” 2021. doi: 10.18419/darus-1776.

V. Zaverkin, D. Holzmüller, I. Steinwart, and J. Kästner, “Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments.” 2021. doi: 10.18419/darus-2136.

H. Eschmann, “A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot.” 2021. doi: 10.18419/darus-1845.

P. Kharitenko, “Coupling Julia-based Simulations via preCICE.” Oct. 2021.

A. Gonzalez-Nicolas Alvarez, “Sampling Strategies of the Regime-and-memory model (RMM).” 2021. doi: 10.18419/darus-2035.

A. Schlaich, “Simulation input scripts for “Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces.”” 2021. doi: 10.18419/darus-2115.

D. Holzmüller, “Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression.” 2021. doi: 10.18419/darus-1771.

T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf, “NMTVis - Neural Machine Translation Visualization System.” 2021. doi: 10.18419/darus-1849.

B. Becker, “Development of efficient multiscale multiphysics models accounting for reversible flow at various subsurface energy storage sites.” Universität Stuttgart, 2021. doi: 10.18419/OPUS-11753.

G. Tkachev, “Replication Data for: “S4: Self-Supervised learning of Spatiotemporal Similarity.”” 2021. doi: 10.18419/darus-2174.

T. Wenzel, G. Santin, and B. Haasdonk, “Analysis of target data-dependent greedy kernel algorithms: Convergence rates for $f$-, $f P$- and $f/P$-greedy.” arXiv, 2021. doi: 10.48550/ARXIV.2105.07411.

T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf, “NMTVis - Trained Models for our Visual Analytics System.” DaRUS, 2021. doi: 10.18419/DARUS-1850.

A. Gonzalez-Nicolas Alvarez, “Regime-and-memory model (RMM) Code.” 2021. doi: 10.18419/darus-2034.

S. Schulz, C. Bringedal, and S. Ackermann, “Code for relative permeabilities for two-phase flow between parallel plates with slip conditions.” 2021. doi: 10.18419/darus-2241.

H.-F. Hsueh, “Code of the tBME method.” 2021. doi: 10.18419/darus-1836.

T. Munz, R. Garcia, and D. Weiskopf, “Visual Analytics System for Hidden States in Recurrent Neural Networks.” DaRUS, 2021. doi: 10.18419/DARUS-2052.

C. Fiedler, C. W. Scherer, and S. Trimpe, “Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression,” in Proceedings of the AAAI Conference on Artificial Intelligence, 2021, pp. 7439–7447. [Online]. Available: https://ojs.aaai.org/index.php/AAAI/article/view/16912

T. Munz, D. Väth, P. Kuznecov, T. Vu, and D. Weiskopf, “Visual-Interactive Neural Machine Translation,” in Graphics Interface 2021, 2021. [Online]. Available: https://openreview.net/forum?id=DQHaCvN9xd

F. Kempter, C. Kleinbach, M. Staudenmeyer, and J. C. Fehr, “An Active Female Human Body Model for Simulation of Rear-End Impact Scenarios,” in 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), in Proceedings in applied mathematics and mechanics. Wiley, 2021, p. e202000068. doi: 10.1002/pamm.202000068.

T. Praditia, M. Karlbauer, S. Otte, S. Oladyshkin, M. Butz, and W. Nowak, “Finite Volume Neural Network: Modeling Subsurface Contaminant Transport,” in Deep Learning for Simulation ICLR Workshop 2021, 2021. [Online]. Available: https://simdl.github.io/files/33.pdf

T. Praditia, S. Oladyshkin, and W. Nowak, “Physics Informed Neural Network for porous media modelling,” Stuttgart, Germany: InterPore German Chapter Meeting 2021, Feb. 2021.

S. Jöns, C. Müller, J. Zeifang, and C.-D. Munz, “Recent Advances and Complex Applications of the Compressible Ghost-Fl uid Method,” in Recent Advances in Numerical Methods for Hyperbolic PDE Systems, M. L. Muñoz-Ruiz, C. Parés, and G. Russo, Eds., Cham: Springer International Publishing, 2021, pp. 155–176.

F. Strohm, E. Sood, S. Mayer, P. Müller, M. Bâce, and A. Bulling, “Neural Photofit : Gaze-based Mental Image Reconstruction,” in 2021 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, 2021, pp. 245–254. doi: 10.1109/ICCV48922.2021.00031.

T. Holicki and C. W. Scherer, “Algorithm Design and Extremum Control:Convex Synthesis due to Plant Multiplier Commutation,” in 60th IEEE Conference Decision and Control, 2021.

R. Leiteritz, M. Hurler, and D. Pflüger, “Learning Free-Surface Flow with Physics-Informed Neural Networks,” in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 1664–1669. doi: 10.1109/ICMLA52953.2021.00266.

M. Ibach et al., “Direct Numerical Simulations of Grouping Effects in Droplet Streams Using Different Boundary Conditions,” in International Conference on Liquid Atomization and Spray Systems (ICLASS), 2021. doi: 10.2218/iclass.2021.5815.

B. Haasdonk, T. Wenzel, G. Santin, and S. Schmitt, “Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods,” in Numerical Mathematics and Advanced Applications ENUMATH 2019, F. J. Vermolen and C. Vuik, Eds., Cham: Springer International Publishing, 2021, pp. 499–508.

J. Veenman, C. W. Scherer, C. Ardura, S. Bennani, V. Preda, and B. Girouart, “IQClab: A new IQC based toolbox for robustness analysis and control design,” in IFAC-PapersOnline, 2021, pp. 69–74. doi: 10.1016/j.ifacol.2021.08.583.

C. Fiedler, C. W. Scherer, and S. Trimpe, “Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees,” in 60th IEEE Conference Decision and Control, 2021.

R. Diestelkämper, S. Lee, M. Herschel, and B. Glavic, “To not miss the forest for the trees - A holistic approach for explaining missing answers over nested data,” in In Proceedings of the ACM SIG Conference on the Management of Data (SIGMOD), 2021.

R. Strässer, J. Berberich, and F. Allgöwer, “Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics,” in Proc. 60th IEEE Conf. Decision and Control (CDC), Austin, TX, USA, 2021, pp. 4344–4351. doi: 10.1109/CDC45484.2021.9683211.

D. Väth, P. Tilli, and N. T. Vu, “Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking,” in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021, pp. 114–123.

J. Kühnert, D. Göddeke, and M. Herschel, “Provenance-integrated parameter selection and optimization in numerical simulations,” in International Workshop on the Theory and Practice of Provenance (TAPP), USENIX Association, 2021.

A. Alanwar, A. Koch, F. Allgöwer, and K. H. Johansson, “Data-Driven Reachability Analysis Using Matrix Zonotopes,” in Proceedings of the 3rd Conference on Learning for Dynamics and Control, in Proceedings of Machine Learning Research, vol. 144. 2021, pp. 163–175.

J. Schmalfuss, C. Riethmüller, M. Altenbernd, K. Weishaupt, and D. Göddeke, “Partitioned coupling vs. monolithic block-preconditioning approaches for solving Stokes-Darcy systems,” in Proceedings of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS), 2021. doi: 10.23967/coupled.2021.043.

J. Steigerwald, M. Ibach, J. Reutzsch, and B. Weigand, “Towards the Numerical Determination of the Splashing Threshold of Two-component Drop Film Interactions,” in High Performance Computing in Science and Engineering ’20, Springer, 2021, pp. 261–279. doi: 10.1007/978-3-030-80602-6_17.

D. Holzmüller and D. Pflüger, “Fast Sparse Grid Operations Using the Unidirectional Principle: A Generalized and Unified Framework,” in Sparse Grids and Applications - Munich 2018, H.-J. Bungartz, J. Garcke, and D. Pflüger, Eds., Cham: Springer International Publishing, 2021, pp. 69–100.

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A. Denzel, B. Haasdonk, and J. Kästner, “Gaussian Process Regression for Minimum Energy Path Optimization and Transition State Search,” The Journal of Physical Chemistry A, vol. 123, Art. no. 44, 2019, doi: 10.1021/acs.jpca.9b08239.

M. Hopp and J. Gross, “Thermal Conductivity from Entropy Scaling: A Group-Contribution Method,” Industrial & Engineering Chemistry Research, vol. 58, Art. no. 44, Oct. 2019, doi: 10.1021/acs.iecr.9b04289.

G. Tkachev, S. Frey, and T. Ertl, “Local Prediction Models for Spatiotemporal Volume Visualization,” IEEE Transactions on Visualization and Computer Graphics, 2019, doi: 10.1109/TVCG.2019.2961893.

R. Roddan et al., “The acceptance and kinetic resolution of alpha-methyl substituted aldehydes by norcoclaurine synthases.,” ACS Catalysis, vol. 9, pp. 9640–9649, 2019.

A. D. Carral, C. S. Sarap, K. Liu, A. Radenovic, and M. Fyta, “2D MoS2 nanopores: ionic current blockade height for clustering DNA events,” 2D Materials, vol. 6, Art. no. 4, 2019.

X. Chu, G. Yang, S. Pandey, and B. Weigand, “Direct numerical simulation of convective heat transfer in porous media,” International Journal of Heat and Mass Transfer, pp. 11–20, 2019.

I. Tabiai et al., “Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding,” Engineering Fracture Mechanics, vol. 216, p. 106485, 2019, doi: 10.1016/j.engfracmech.2019.106485.

T. Holicki and C. W. Scherer, “Stability Analysis and Output-Feedback Synthesis of Hybrid Systems Affected by Piecewise Constant Parameters via Dynamic Resetting Scalings,” Nonlinear Analysis: Hybrid Systems, vol. 34, pp. 179–208, 2019, doi: https://doi.org/10.1016/j.nahs.2019.06.003.

J. Pelzer, “Models and Prepared Datasets for the First Stage : based on the Single Heat Pump Simulation Datasets.” 2024. doi: 10.18419/darus-3690.

R. R. Herkert, “Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data.” 2024. doi: 10.18419/darus-4227.

T. Munz-Körner and D. Weiskopf, “Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections.” DaRUS, 2024. doi: 10.18419/DARUS-3553.

P. Stärk and A. Schlaich, “Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries.” 2024. doi: 10.18419/darus-3149.

J. Pelzer, “Models and Prepared Datasets for the Second Stage : based on the Two Heat Pumps Simulation Datasets.” 2024. doi: 10.18419/darus-3689.

M. Alvarez Chaves, H. Gupta, U. Ehret, and A. Guthke, “Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data.” 2024. doi: 10.18419/darus-4087.

P. L. Reiser, J. E. Aguilar, A. Guthke, and P.-C. Bürkner, “Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference.” 2024. doi: 10.18419/darus-4093.

C. Homs Pons and R. Lautenschlager, “Replication Data for: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models.” 2024. doi: 10.18419/darus-4031.

S. Roy, F. Wang, and D. Gläser, “Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories.” 2024. doi: 10.18419/darus-3785.

T. Munz-Körner and D. Weiskopf, “Supplemental Material for “Exploring Visual Quality of Multidimensional Time Series Projections.”” DaRUS, 2024. doi: 10.18419/DARUS-3965.

R. R. Herkert, “Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems.” 2024. doi: 10.18419/darus-4185.

L. Werneck, E. Yildiz, M. Han, M.-A. Keip, M. Sitti, and M. Ortiz, “Ion Flow Through Neural Ion Membrane: scripts and data.” 2023. doi: 10.18419/darus-3575.

P. F. Santana Chacon, M. Hammer, I. Wochner, J. R. Walter, and S. Schmitt, “Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers.” 2023. doi: 10.18419/darus-3796.

F. Kempter, L. Lantella, N. Stutzig, J. C. Fehr, and T. Siebert, “Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM.” 2023. doi: 10.18419/darus-3000.

D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart, “Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression arXiv v3.” 2023. doi: 10.18419/darus-3394.

P. Rodegast, S. Maier, J. Kneifl, and J. C. Fehr, “Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios.” 2023. doi: 10.18419/darus-3301.

A. Baier and D. Frank, “deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning.” 2023. doi: 10.18419/darus-3455.

J. Kneifl, D. Rosin, O. Avci, O. Röhrle, and J. C. Fehr, “Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations.” 2023. doi: 10.18419/darus-3302.

M. Schmitt, “Replication Code for: Meta-Uncertainty in Bayesian Model Comparison.” 2023. doi: 10.18419/darus-3514.

J. Kneifl and J. C. Fehr, “Crash Simulations of a Racing Kart’s Structural Frame Colliding against a Rigid Wall.” 2023. doi: 10.18419/darus-3789.

R. S. Skukies, “2023 CCN Time Window Project Code.” 2023. doi: 10.18419/darus-3635.

A. Baier, D. Aspandi Latif, and S. Staab, “Supplements for “ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks”″.” 2023. doi: 10.18419/darus-3457.

N. Schäfer et al., “Visual Analysis System for Scene-Graph-Based Visual Question Answering.” 2023. doi: 10.18419/darus-3589.

J. Rettberg, D. Wittwar, and R. R. Herkert, “Softwarepackage CCMOR2 : Certified Coupled Model Order Reduction - part 2.” 2023. doi: 10.18419/darus-3839.

R. R. Herkert, “Replication Code for: Randomized Symplectic Model Order Reduction for Hamiltonian Systems.” 2023. doi: 10.18419/darus-3519.

R. Kohlhaas, I. Kröker, S. Oladyshkin, and W. Nowak, “Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator : Data and Software.” 2023. doi: 10.18419/darus-2829.

T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf, “NMTVis - Extended Neural Machine Translation Visualization System.” 2022. doi: 10.18419/darus-2124.

D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart, “Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression arXiv v2.” 2022. doi: 10.18419/darus-3110.

D. Holzmüller, “Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework.” 2022. doi: 10.18419/darus-1779.

J. Kneifl, J. Hay, and J. Fehr, “Human Occupant Motion in Pre-Crash Scenario.” 2022. doi: 10.18419/darus-2471.

K. Davis and M. Schulte, “Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps.” 2022. doi: 10.18419/darus-3184.

S. Schmitt, “demoa-base: a biophysics simulator for muscle-driven motion.” 2022. doi: 10.18419/darus-2550.

M. Alkämper and J. M. Magiera, “Interface Preserving Moving Mesh (Code).” 2022. doi: 10.18419/darus-1671.

G. Tkachev, “PyPlant: A Python Framework for Cached Function Pipelines.” 2022. doi: 10.18419/darus-2249.

I. Wochner and S. Schmitt, “MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks.” 2022. doi: 10.18419/darus-3268.

K. Davis and M. Schulte, “Replication Data for: Radial basis function interpolation with partition of unity for PyRBF.” 2022. doi: 10.18419/darus-3183.

D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart, “Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression arXiv v1.” 2022. doi: 10.18419/darus-2615.

K. Davis and M. Schulte, “COM-4 model to replicate simulation results for the GEO.KW project.” 2022. doi: 10.18419/darus-3185.

K. Davis and M. Schulte, “REG-30 model to replicate simulation results for the GEO.KW project.” 2022. doi: 10.18419/darus-3195.

V. Zaverkin, D. Holzmüller, I. Steinwart, and J. Kästner, “Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments.” 2021. doi: 10.18419/darus-2136.

D. Holzmüller, “Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression.” 2021. doi: 10.18419/darus-1771.

T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf, “NMTVis - Neural Machine Translation Visualization System.” 2021. doi: 10.18419/darus-1849.

G. Tkachev, “Replication Data for: “S4: Self-Supervised learning of Spatiotemporal Similarity.”” 2021. doi: 10.18419/darus-2174.

A. Gonzalez-Nicolas Alvarez, “Regime-and-memory model (RMM) Code.” 2021. doi: 10.18419/darus-2034.

T. Munz, R. Garcia, and D. Weiskopf, “Visual Analytics System for Hidden States in Recurrent Neural Networks.” DaRUS, 2021. doi: 10.18419/DARUS-2052.

J. Kneifl and J. Fehr, “Deformation of a Structural Frame of a Racing Kart Colliding against a Rigid Wall.” 2020. doi: 10.18419/darus-1150.

T. Munz, “VisME software v1.2.” Zenodo, 2019. doi: 10.5281/ZENODO.3352236.

F. Bechler, “Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios.” 2024. doi: 10.18419/darus-4116.

J. Pelzer, “Raw Simulation Datasets for Extending Heat Plumes.” 2024. doi: 10.18419/darus-4133.

L. Keim and H. Class, “Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures.” 2024. doi: 10.18419/darus-4143.

L. Keim and H. Class, “Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures.” 2024. doi: 10.18419/darus-4089.

B. Röder, H. Ebel, and P. Eberhard, “Motion and Motor-Current Data of a Four-Bar Linkage.” 2024. doi: 10.18419/darus-4152.

P. Palmetshofer and J. Wurst, “Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces.” 2024. doi: 10.18419/darus-4178.

J. M. Magiera, “Replication Data for: Constraint-aware neural networks for Riemann problems.” 2024. doi: 10.18419/darus-3869.

J. Potyka, K. Schulte, and C. Planchette, “Simulation and Experimental data on liquid distribution after the head-on separation of immiscible liquid droplet collisions.” 2023. doi: 10.18419/darus-3594.

J. Rettberg et al., “Replication Data for: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar.” 2023. doi: 10.18419/darus-3248.

A. Schlaich, “Material for the paper “The possible role of lipid bilayer properties in the evolutionary disappearance of betaine lipids in seed plants.”” 2023. doi: 10.18419/darus-2360.

V. Zaverkin, D. Holzmüller, L. Bonfirraro, and J. Kästner, “Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials.” 2023. doi: 10.18419/darus-3299.

J. Pelzer, “Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points.” 2023. doi: 10.18419/darus-3651.

J. Potyka and K. Schulte, “Setups for and Outcomes of Immiscible Liquid Droplet Collision Simulations.” 2023. doi: 10.18419/darus-3557.

J. Pelzer, “Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points.” 2023. doi: 10.18419/darus-3652.

J. Pelzer, “Dataset: Single Heat Pump Simulation - Raw, 100 Data Points.” 2023. doi: 10.18419/darus-3649.

T. Munz-Körner, S. Künzel, and D. Weiskopf, “Supplemental Material for “Visual-Explainable AI: The Use Case of Language Models.”” 2023. doi: 10.18419/darus-3456.

N. Schäfer et al., “Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering.” 2023. doi: 10.18419/darus-3597.

J. Pelzer, “Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points.” 2023. doi: 10.18419/darus-3650.

M. Steffen, “Registered Cars and Motorized Two- and Three-wheelers in Worldwide Countries.” 2023. doi: 10.18419/darus-3378.

M. Degen et al., “Supplementary material for ‘Structural basis for ninjurin-1 mediated plasma membrane rupture in lytic cell death.’” 2023. doi: 10.18419/darus-3373.

M. Rosenfelder, H. Ebel, and P. Eberhard, “Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots.” 2023. doi: 10.18419/darus-3331.

M. Rosenfelder, H. Ebel, and P. Eberhard, “Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects.” 2023. doi: 10.18419/darus-3611.

J. Wachlmayr, G. Fläschner, K. Pluhackova, W. Sandtner, C. Siligan, and A. Horner, “Supplementary Material for ‘Entropic barrier of water permeation through single-file channels.’” 2023. doi: 10.18419/darus-3390.

F. Huber, P.-C. Bürkner, D. Göddeke, and M. Schulte, “Experimental Data and Models for “Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization.”” 2023. doi: 10.18419/darus-3550.

X. Xu, “Replication Data for: Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al.” 2023. doi: 10.18419/darus-3579.

M. Kelm, C. Bringedal, and B. Flemisch, “Replication Data for phase-field contributions in level-set comparison study.” 2023. doi: 10.18419/darus-3359.

J. Pelzer, “Dataset: Single Heat Pump Simulation - Prepared “Learn Params”, 100 Data Points.” 2023. doi: 10.18419/darus-3653.

M. Takamoto et al., “PDEBench Pretrained Models : Pretrained models for “PDEBench: An Extensive Benchmark for Scientific Machine Learning.”” 2022. doi: 10.18419/darus-2987.

M. Takamoto et al., “PDEBench Datasets : Data for “PDEBench: An Extensive Benchmark for Scientific Machine Learning.”” 2022. doi: 10.18419/darus-2986.

A. Baier and S. Staab, “A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances.” 2022. doi: 10.18419/darus-2905.

T. Praditia, M. Karlbauer, S. Otte, S. Oladyshkin, M. V. Butz, and W. Nowak, “Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network.” 2022. doi: 10.18419/darus-3249.

S. Hermann, “Case Study Database for: Documenting Research Software in Engineering Science.” 2022. doi: 10.18419/darus-2681.

M. Hammer, J. M. Riede, L. Meszaros-Beller, and S. Schmitt, “gspine: A Human Spine Model Built Using Literature Data : a human spine model built using literature data.” 2022. doi: 10.18419/darus-2814.

I. Banerjee and P. Walter, “Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence : MFP implementation codes on SIP.” 2022. doi: 10.18419/darus-2815.

L. Nölle et al., “EHTM Code and Manual.” 2022. doi: 10.18419/darus-1144.

C. Keßler et al., “Supplementary material for ‘Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study.’” 2022. doi: 10.18419/darus-2308.

I. Banerjee, “Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data : modeling data and Post-processing codes for the manuscript.” 2021. doi: 10.18419/darus-1776.

H. Eschmann, “A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot.” 2021. doi: 10.18419/darus-1845.

A. Gonzalez-Nicolas Alvarez, “Sampling Strategies of the Regime-and-memory model (RMM).” 2021. doi: 10.18419/darus-2035.

A. Schlaich, “Simulation input scripts for “Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces.”” 2021. doi: 10.18419/darus-2115.

T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf, “NMTVis - Trained Models for our Visual Analytics System.” DaRUS, 2021. doi: 10.18419/DARUS-1850.

S. Schulz, C. Bringedal, and S. Ackermann, “Code for relative permeabilities for two-phase flow between parallel plates with slip conditions.” 2021. doi: 10.18419/darus-2241.

H.-F. Hsueh, “Code of the tBME method.” 2021. doi: 10.18419/darus-1836.

T. Praditia, “Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System.” 2020. doi: 10.18419/darus-634.

T. Praditia, “Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System.” 2020. doi: 10.18419/darus-633.

T. Munz, N. Schäfer, T. Blascheck, K. Kurzhals, E. Zhang, and D. Weiskopf, “Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games.” DaRUS, 2020. doi: 10.18419/DARUS-1130.

R. Diestelkämper, “Research Data Management Project Form.” 2019. doi: 10.18419/darus-507.

J. Rettberg et al., “Replication Data for: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar,” 2023, doi: 10.18419/darus-3248.

J. Rettberg et al., “Port-Hamiltonian fluid–structure interaction modelling and structure-preserving model order reduction of a classical guitar,” Mathematical and Computer Modelling of Dynamical Systems, vol. 29, Art. no. 1, 2023, doi: 10.1080/13873954.2023.2173238.

N. Fahse, M. Millard, F. Kempter, S. Maier, M. Roller, and J. Fehr, “Dynamic Human Body Models in Vehicle Safety: An Overview,” GAMM-Mitteilungen, vol. 46, Art. no. 2, 2023, doi: 10.1002/gamm.202300007.

C. Dibak, W. Nowak, F. Dürr, and K. Rothermel, “Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations,” IEEE Transactions on Mobile Computing, vol. 22, Art. no. 3, 2023, doi: 10.1109/TMC.2021.3108750.

T. Koch et al., “DuMux 3 – an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling,” Computers & Mathematics with Applications, vol. 81, pp. 423–443, 2021, doi: 10.1016/j.camwa.2020.02.012.

F. Kempter, C. Kleinbach, M. Staudenmeyer, and J. Fehr, “An Active Female Human Body Model for Simulation of Rear‐End Impact Scenarios,” PAMM, vol. 20, Art. no. 1, Jan. 2021, doi: 10.1002/pamm.202000068.

B. Lohmann et al., “Model Order Reduction in Mechanical Engineering,” in Model Order Reduction. Volume 3: Applications, P. Benner, S. Grivet-Talocia, A. Quarteroni, G. Rozza, W. H. A. Schilders, and L. M. Silveira, Eds., Berlin: De~Gruyter, 2020, pp. 33–73.

C. S. Sarap, M. H. Putra, and M. Fyta, “Domain-size effect on the electronic properties of two-dimensional $MoS_2/WS_2$,” Phys. Rev. B, vol. 101, Art. no. 7, Feb. 2020, doi: 10.1103/PhysRevB.101.075129.

C. Rohde and H. Tang, “On a stochastic Camassa--Holm type equation with higher order nonlinearities,” Journal of Dynamics and Differential Equations, vol. 33, pp. 1823–1852, 2020, doi: 10.1007/s10884-020-09872-1.

T. Koch, B. Flemisch, R. Helmig, R. Wiest, and D. Obrist, “A multiscale subvoxel perfusion model to estimate diffusive capillary wall conductivity in multiple sclerosis lesions from perfusion MRI data,” International Journal for Numerical Methods in Biomedical Engineering, vol. 36, Art. no. 2, 2020, doi: 10.1002/cnm.3298.

B. Hilder, “Modulating traveling fronts for the Swift-Hohenberg equation in the case of an additional conservation law,” Journal of Differential Equations, vol. 269, Art. no. 5, Aug. 2020, doi: 10.1016/j.jde.2020.03.033.

R. Weeber, F. Nestler, F. Weik, M. Pippig, D. Potts, and C. Holm, “Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P2NFFT method,” Journal of Computational Physics, vol. 391, pp. 243–258, Aug. 2019, doi: 10.1016/j.jcp.2019.01.044.

T. Ricken and L. Lambers, “On computational approaches of liver lobule function and perfusion simulation,” GAMM-Mitteilungen, vol. 9, Art. no. 3, 2019, doi: 10.1002/gamm.201900016.

P. Partovi-Azar, C. S. Sarap, and M. Fyta, “In silico Complexes of Amino Acids and Diamondoids,” ChemPhysChem, vol. 20, Art. no. 17, Jul. 2019, doi: 10.1002/cphc.201900394.

J. Meisner, I. Kamp, W.-F. Thi, and J. Kästner, “The role of atom tunneling in gas-phase reactions in planet-forming disks,” Astron. Astrophys., vol. 627, p. A45, 2019, doi: 10.1051/0004-6361/201834974.

M. N. Markmeyer, T. Lamberts, J. Meisner, and J. Kästner, “HOCO formation in astrochemical environments by radical-induced H-abstraction from formic acid,” Mon. Not. R. Astron. Soc., vol. 482, Art. no. 1, 2019, doi: 10.1093/mnras/sty2620.

M. Köppel et al., “Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario,” Computational Geosciences, vol. 23, Art. no. 2, Apr. 2019, doi: 10.1007/s10596-018-9785-x.

M. Köppel et al., “Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario,” Computational Geosciences, vol. 23, pp. 339–354, 2019, doi: 10.1007/s10596-018-9785-x.

D. Gläser, B. Flemisch, R. Helmig, and H. Class, “A hybrid-dimensional discrete fracture model for non-isothermal two-phase flow in fractured porous media,” GEM - International Journal on Geomathematics, vol. 10, Art. no. 1, 2019, doi: 10.1007/s13137-019-0116-8.

K. Carlberg, L. Brencher, B. Haasdonk, and A. Barth, “Data-driven time parallelism via forecasting,” SIAM Journal on Scientific Computing, vol. 41, Art. no. 3, 2019, doi: 10.1137/18M1174362.

D. Brodbeck et al., “Asymmetric Carboxycyanation of Aldehydes by Cooperative AlF-/Onium Salt Catalysts: from Cyanoformate to KCN as Cyanide Source,” Chem. Eur. J., vol. 25, pp. 1515–1524, 2019, doi: 10.1002/chem.201804388.

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D. Wittwar and B. Haasdonk, Greedy Algorithms for Matrix-Valued Kernels. 2018. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1773

P. Tempel, F. Trautwein, and A. Pott, Experimental Validation of Cable Strain Dynamics Models of UHMWPE Dyneema Fibers for Improving Cable Tension Control Strategies. Springer Verlag; Springer International Publishing, 2018. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1959

P. Tempel, D. Lee, and A. Pott, Elastic-Flexible Cable Models with Time-Varying Length for Cable-Driven Parallel Robots - A Rayleigh-Ritz Approach. IEEE, 2018. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1960

M. Köppel, V. Martin, and J. E. Roberts, A stabilized Lagrange multiplier finite-element method for flow in porous media with fractures. 2018. [Online]. Available: https://hal.archives-ouvertes.fr/hal-01761591

M. Köppel, V. Martin, J. Jaffre, and J. E. Roberts, A Lagrange multiplier method for a discrete fracture model for flow in porous media. 2018. [Online]. Available: https://hal.archives-ouvertes.fr/hal-01700663

J. Köhler, M. A. Müller, and F. Allgöwer, A nonlinear tracking model predictive control scheme using reference generic terminal ingredients. 2018. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1970

S. Haesaert, S. Weiland, and C. W. Scherer, A separation theorem for guaranteed $H_2$ performance through matrix inequalities. Automatica, 2018. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1954

C. Bradley et al., Towards realistic HPC models of the neuromuscular system. 2018. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1772

H. Zong, G. Pilania, X. Ding, G. J. Ackland, and T. Lookman, “Developing an interatomic potential for martensitic phase transformations in zirconium by machine learning,” npj Computational Materials, vol. 4, Art. no. 1, 2018.

G. Yang, B. Weigand, A. Terzis, K. Weishaupt, and R. Helmig, “Numerical Simulation of Turbulent Flow and Heat Transfer in a Three-Dimensional Channel Coupled with Flow Through Porous Structures,” Transport In Porous Media, vol. 122, Art. no. 1, 2018, doi: 10.1007/s11242-017-0995-9.

A. Weyman, M. Bier, C. Holm, and J. Smiatek, “Microphase separation and the formation of ion conductivity channels in poly(ionic liquid)s: A coarse-grained molecular dynamics study,” The Journal of Chemical Physics, vol. 148, Art. no. 19, May 2018, doi: 10.1063/1.5016814.

R. Weeber, M. Hermes, A. M. Schmidt, and C. Holm, “Polymer architecture of magnetic gels: a review,” Journal of Physics: Condensed Matter, vol. 30, Art. no. 6, Jan. 2018, doi: 10.1088/1361-648x/aaa344.

C. Waibel, R. Stierle, and J. Gross, “Transferability of cross-interaction pair potentials: Vapor-liquid phase equilibria of n-alkane/nitrogen mixtures using the TAMie force field,” Fluid Phase Equilibria, vol. 456, pp. 124–130, 2018, doi: 10.1016/j.fluid.2017.09.024.

C. Waibel and J. Gross, “Modification of the Wolf Method and Evaluation for Molecular Simulation of Vapor-Liquid Equilibria,” Journal of Chemical Theory and Computation, vol. 14, Art. no. 4, 2018, doi: 10.1021/acs.jctc.7b01190.

J. Valentin, M. Sprenger, D. Pflüger, and O. Röhrle, “Gradient-Based Optimization with B-Splines on Sparse Grids for Solving Forward-Dynamics Simulations of Three-Dimensional, Continuum-Mechanical Musculoskeletal System Models,” International Journal for Numerical Methods in Biomedical Engineering, 2018, doi: 10.1002/cnm.2965.

J. Valentin and D. Pflüger, “Fundamental Splines on Sparse Grids and Their Application to Gradient-Based Optimization,” Sparse Grids and Applications - Miami 2016, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1867

F. Uhlig, J. Zeman, J. Smiatek, and C. Holm, “First-Principles Parametrization of Polarizable Coarse-Grained Force Fields for Ionic Liquids,” Journal of Chemical Theory and Computation, vol. 14, Art. no. 3, Jan. 2018, doi: 10.1021/acs.jctc.7b00903.

R. Soloperto, M. A. Müller, S. Trimpe, and F. Allgöwer, “Learning-based robust model predictive control with state-dependent uncertainty,” IFAC-PapersOnLine, vol. 51, Art. no. 20, 2018.

M. Schneider, T. Koeppl, R. Helmig, R. Steinle, and R. Hilfer, “Stable Propagation of Saturation Overshoots for Two-Phase Flow in Porous Media,” Transport in Porous Media, vol. 121, pp. 621–641, 2018, doi: 10.1007/s11242-017-0977-y.

M. Schneider, B. Flemisch, R. Helmig, K. Terekhov, and H. Tchelepi, “Monotone nonlinear finite-volume method for challenging grids,” Computational Geosciences, 2018, doi: 10.1007/s10596-017-9710-8.

A. Schmidt and B. Haasdonk, “Data-driven surrogates of value functions and applications to feedback control for dynamical systems,” MathMod 2018, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1766

C. W. Scherer and J. Veenman, “Stability analysis by dynamic dissipation inequalities: On merging frequency-domain techniques with time-domain conditions,” Syst. Contr. Letters, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1958

G. Santin, D. Wittwar, and B. Haasdonk, “Greedy regularized kernel interpolation,” arXiv preprint arXiv:1807.09575, 2018.

A. Romer, J. M. Montenbruck, and F. Allgöwer, “Data-driven inference of conic relations via saddle-point dynamics,” IFAC-PapersOnLine, vol. 51, Art. no. 25, 2018.

P. Rehner and J. Gross, “Surface tension of droplets and Tolman lengths of real substances and mixtures from density functional theory,” THE JOURNAL OF CHEMICAL PHYSICS, vol. 148, p. 164703, 2018, doi: 10.1063/1.5020421.

D. Pfander, G. Daiß, D. Pflüger, D. Marcello, and H. Kaiser, “Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX,” Proceedings of the 6th International Workshop on OpenCL, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1893

D. Pfander, M. Brunn, and D. Pflüger, “AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming,” 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1892

S. Pandey, X. Chu, E. Laurien, and B. Weigand, “Buoyancy induced turbulence modulation in pipe flow at supercritical pressure under cooling conditions,” Physics of Fluids, vol. 30, Art. no. 6, 2018.

K. Nguyen and M.-A. Keip, “A data-driven approach to nonlinear elasticity,” Computers & Structures, vol. 194, pp. 97–115, 2018, doi: 10.1016/j.compstruc.2017.07.031.

A. Nateghi, H. Dal, M.-A. Keip, and C. Miehe, “An affine microsphere approach to modeling strain-induced crystallization in rubbery polymers,” Continuum Mechanics and Thermodynamics, pp. 1–23, 2018, doi: 10.1007/s00161-017-0612-8.

A. Narayanan Krishnamoorthy, C. Holm, and J. Smiatek, “Specific ion effects for polyelectrolytes in aqueous and non-aqueous media: the importance of the ion solvation behavior,” Soft Matter, vol. 14, Art. no. 30, 2018, doi: 10.1039/C8SM00600H.

J. Michalowsky, J. Zeman, C. Holm, and J. Smiatek, “A polarizable MARTINI model for monovalent ions in aqueous solution,” The Journal of Chemical Physics, vol. 149, Art. no. 16, Oct. 2018, doi: 10.1063/1.5028354.

J. Meisner, J. Karwounopoulos, P. Walther, J. Kästner, and S. Naumann, “The Lewis Pair Polymerization of Lactones Using Metal Halides and N-Heterocyclic Olefins: Theoretical Insights,” Molecules, vol. 23, Art. no. 2, 2018, doi: 10.3390/molecules23020432.

D. M. McEligot, X. Chu, R. S. Skifton, and E. Laurien, “Internal convective heat transfer to gases in the low-Reynolds-number ?turbulent? range,” International Journal of Heat and Mass Transfer, vol. 121, pp. 1118–1124, 2018.

M. Lotti, J. Pleiss, F. Valero, and P. Ferrer, “Enzymatic production of biodiesel: strategies to overcome methanol inactivation,” Biotechnol J, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1809

S. Linsenmayer, H. Ishii, and F. Allgöwer, “Containability With Event-Based Sampling for Scalar Systems With Time-Varying Delay and Uncertainty,” IEEE Control Systems Letters, 2018, doi: 10.1109/LCSYS.2018.2847449.

J. Köhler, M. A. Müller, and F. Allgöwer, “Nonlinear reference tracking: An economic model predictive control perspective,” IEEE Transactions on Automatic Control, 2018, doi: 10.1109/TAC.2018.2800789.

K. Kuritz, W. Halter, and F. Allgöwer, “Passivity-based ensemble control for cell cycle synchronization,” Lecture Notes in Control and Information Sciences - Proceedings, 2018, [Online]. Available: http://www.springer.com/de/book/9783319670676

A. N. Krishnamoorthy, C. Holm, and J. Smiatek, “Influence of Cosolutes on Chemical Equilibrium: a Kirkwood–Buff Theory for Ion Pair Association–Dissociation Processes in Ternary Electrolyte Solutions,” The Journal of Physical Chemistry C, vol. 122, Art. no. 19, Apr. 2018, doi: 10.1021/acs.jpcc.7b12255.

B. Kane, R. Kloefkorn, and A. Dedner, “Adaptive Discontinuous Galerkin Methods for flow in porous media,” Proceedings of ENUMATH 2017, the 12th European conference on numerical mathematics and advanced applications, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1928

S. Hocker, H. Lipp, E. Eisfeld, S. Schmauder, and J. Roth, “Precipitation strengthening in Cu--Ni--Si alloys modeled with ab initio based interatomic potentials,” The Journal of chemical physics, vol. 149, Art. no. 2, 2018.

D. F. Haeufle, B. Schmortte, H. Geyer, R. Müller, and S. Schmitt, “The benefit of combining neuronal feedback and feed-forward control for robustness in step down perturbations of simulated human walking depends on the muscle function,” Frontiers in computational neuroscience, vol. 12, p. 80, 2018.

C. Y. Guo, “Robust Gain-Scheduled Controller Design with a Hierarchical Structure,” 9th IFAC Symposium on Robust Control Design, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1953

B. Flemisch et al., “Benchmarks for single-phase flow in fractured porous media,” Advances in Water Resources, vol. 111, pp. 239–258, 2018, doi: 10.1016/j.advwatres.2017.10.036.

D. Fink, A. Wagner, and W. Ehlers, “Application-driven model reduction for the simulation of therapeutic infusion processes in multi-component brain tissue,” JOURNAL OF COMPUTATIONAL SCIENCE, vol. 24, pp. 101–115, Jan. 2018, doi: 10.1016/j.jocs.2017.10.002.

V. Ferrario, N. Hansen, and J. Pleiss, “Interpretation of cytochrome P450 monooxygenase kinetics by modeling of thermodynamic activity,” J Inorg Biochem, vol. 183, pp. 172–178, 2018, doi: https://doi.org/10.1016/j.jinorgbio.2018.02.016.

J. Fehr, D. Grunert, A. Bhatt, and B. Haasdonk, “A sensitivity study of error estimation in reduced elastic multibody systems,” Proceedings of MATHMOD 2018, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1920

C. Dibak, B. Haasdonk, A. Schmidt, F. Dürr, and K. Rothermel, “Enabling Interactive Mobile Simulations Through Distributed Reduced Models,” Pervasive and Mobile Computing, 2018, doi: 10.1016/j.pmcj.2018.02.002.

X. Chu, B. Weigand, and V. Vaikuntanathan, “Flow turbulence topology in regular porous media: From macroscopic to microscopic scale with direct numerical simulation,” Physics of Fluids, vol. 30, Art. no. 6, 2018.

X. Chu, W. Chang, S. Pandey, J. Luo, B. Weigand, and E. Laurien, “A computationally light data-driven approach for heat transfer and hydraulic characteristics modeling of supercritical fluids: From DNS to DNN,” International Journal of Heat and Mass Transfer, vol. 123, pp. 629–636, 2018.

W. Chang et al., “Heat transfer prediction of supercritical water with artificial neural networks,” Applied Thermal Engineering, vol. 131, pp. 815–824, 2018.

K. Carlberg, L. Brencher, B. Haasdonk, and A. Barth, “Data-driven time parallelism via forecasting,” SIAM J. of Sci. Comp., 2018, [Online]. Available: http://arxiv.org/abs/1610.09049

F. D. Brunner, D. Antunes, and F. Allgöwer, “Stochastic Thresholds in Event-Triggered Control: A Consistent Policy for Quadratic Control,” Automatica, vol. 89, pp. 376–381, 2018, doi: 10.1016/j.automatica.2017.12.043.

A. Bhatt, J. Fehr, and B. Haasdonk, “Model order reduction of an elastic body under large rigid motion,” Proceedings of ENUMATH 2017, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1919

B. Becker, B. Guo, K. Bandilla, M. A. Celia, B. Flemisch, and R. Helmig, “An Adaptive Multiphysics Model Coupling Vertical Equilibrium and Full Multidimensions for Multiphase Flow in Porous Media,” Water Resources Research, vol. 54, Art. no. 7, 2018, doi: 10.1029/2017wr022303.

F. Bayer, M. A. Müller, and F. Allgöwer, “On optimal system operation in robust economic MPC,” Automatica, vol. 88, pp. 98–106, 2018, doi: 10.1016/j.automatica.2017.11.007.

M. Fetzer, “From classical absolute stability tests towards a comprehensive robustness analysis,” Dissertation, University of Stuttgart, Stuttgart, 2017. doi: 10.18419/opus-9726.

M. Schneider, D. Gläser, B. Flemisch, and R. Helmig, “Nonlinear Finite-Volume Scheme for Complex Flow Processes on Corner-Point Grids,” in Finite Volumes for Complex Applications VIII - Hyperbolic, Elliptic and Parabolic Problems, C. Cancès and P. Omnes, Eds., Cham: Springer International Publishing, 2017, pp. 417–425.

C. A. Rösinger and C. W. Scherer, “Structured Controller Design With Applications to Networked Systems,” in Proc. 56th IEEE Conf. Decision and Control, 2017. doi: 10.1109/CDC.2017.8264365.

A. Romer, J. M. Montenbruck, and F. Allgöwer, “Sampling strategies for data-driven inference of passivity properties,” in 2017 IEEE 56th Annual Conference on Decision and Control (CDC), IEEE, 2017, pp. 6389–6394.

M. Fetzer and C. W. Scherer, “Absolute stability analysis of discrete time feedback interconnections,” in IFAC-PapersOnline, 2017, pp. 8447–8453. doi: 10.1016/j.ifacol.2017.08.757.

P. Schröder, A. Wagner, D. Stöhr, M. Rehm, and W. Ehlers, “Variation of different growth descriptions in a metastatic proliferation model,” in Proceedings of the 7th GACM Colloquium on Computational Mechanics, M. von Scheven, M.-A. Keip, and N. Karajan, Eds., Stuttgart, 2017, pp. 259–262.

L. Danish, D. Stöhr, P. Scheurich, and N. Pollak, “TRAIL-R3/R4 and Inhibition of TRAIL Signalling in Cancer,” in TRAIL, Fas Ligand, TNF and TLR3 in Cancer, O. Micheau, Ed., Cham: Springer International Publishing, 2017, pp. 27–57. doi: 10.1007/978-3-319-56805-8_2.

P. Thomann, I. Steinwart, I. Blaschzyk, and M. Meister, Spatial Decompositions for Large Scale SVMs. 2017. [Online]. Available: https://arxiv.org/abs/1612.00374

I. Steinwart and J. Ziegel, Strictly proper kernel scores and characteristic kernels on compact spaces. 2017. [Online]. Available: https://arxiv.org/abs/1712.05279

I. Steinwart and P. Thomann, liquidSVM: A Fast and Versatile SVM package. 2017. [Online]. Available: https://arxiv.org/abs/1702.06899

I. Steinwart, B. Sriperumbudur, and P. Thomann, Adaptive Clustering Using Kernel Density Estimators. 2017. [Online]. Available: https://arxiv.org/pdf/1708.05254.pdf

M. A. Müller, Additional material to the paper “Nonlinear moving horizon estimation in the presence of bounded disturbances”. 2017. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1508

F. Meyer, J. Giesselmann, and C. Rohde, A posteriori error analysis for random scalar conservation laws using the Stochastic Galerkin method. 2017. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1719

M. Köppel et al., Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. 2017. [Online]. Available: https://arxiv.org/abs/1802.03064

T. Koeppl, M. Fedoseyev, and R. Helmig, Simulation of surge reduction systems using dimensionally reduced models. 2017. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1715

H. Hang and I. Steinwart, A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning. 2017. [Online]. Available: https://arxiv.org/abs/1501.03059v1

M. Greis, H. Schuff, M. Kleiner, N. Henze, and A. Schmidt, Input Controls for Entering Uncertain Data: Probability Distribution Sliders. 2017. doi: 10.1145/3095805.

S. Fischer and I. Steinwart, Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm. 2017. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1931

A. Alla, A. Schmidt, and B. Haasdonk, Model Order Reduction Approaches for Infinite Horizon Optimal Control Problems via the HJB Equation. Springer International Publishing, 2017. doi: 10.1007/978-3-319-58786-8_21.

S. Zeng, J. M. Montenbruck, and F. Allgöwer, “Periodic Signal Compressors,” Proc. 20th IFAC World Congress, pp. 6649–6654, 2017, doi: 10.1016/j.ifacol.2017.08.1042.

S. Zeng and F. Allgöwer, “Structured optimal feedback in multi-agent systems: A static output feedback perspective,” Automatica, vol. 76, pp. 214–221, 2017, doi: 10.1016/j.automatica.2016.10.021.

J. Zeman, F. Uhlig, J. Smiatek, and C. Holm, “A coarse-grained polarizable force field for the ionic liquid 1-butyl-3-methylimidazolium hexafluorophosphate,” Journal of Physics: Condensed Matter, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1751

I. Zderic et al., “Bone cement allocation analysis in artificial cancellous bone structures,” Journal of Orthopaedic Translation, vol. 8, pp. 40–48, 2017, doi: 10.1016/j.jot.2016.09.002.

D. Wittwar, A. Schmidt, and B. Haasdonk, “Reduced Basis Approximation for the Discrete-time Parametric Algebraic Riccati Equation,” SIAM Journal on Matrix Analysis and Applications, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1572

D. Wirtz and W. Nowak, “The rocky road to universal scientific simulation frameworks,” Environmental Software and Modeling, vol. 93, pp. 180–192, 2017, doi: 10.1016/j.envsoft.2016.10.003.

W. F. van Gunsteren et al., “Validation of Molecular Simulation: An Overview of Issues,” Angewandte Chemie International Edition, 2017, doi: 10.1002/anie.201702945.

G. Tkachev, S. Frey, C. Mu?ller, V. Bruder, and T. Ertl, “Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition,” Eurographics Symposium on Parallel Graphics and Visualization, 2017, doi: 10.2312/pgv.20171089.

C. Thomaseth, K. Kuritz, F. Allgöwer, and N. Radde, “The circuit-breaking algorithm for monotone systems,” Mathematical Biosciences, vol. 284, pp. 80–91, 2017, doi: 10.1016/j.mbs.2016.09.002.

A. Terzis et al., “Heat release at the wetting front during capillary filling of cellulosic micro-substrates,” Journal of Colloid and Interface Science, vol. 504, pp. 751–757, 2017, doi: 10.1016/j.jcis.2017.06.027.

P. Tempel, A. Schmidt, B. Haasdonk, and A. Pott, “Application of the Rigid Finite Element Method to the Simulation of Cable-Driven Parallel Robots,” Computational Kinematics, 2017, doi: 10.1007/978-3-319-60867-9_23.

S. Teichtmeister, D. Kienle, F. Aldakheel, and M.-A. Keip, “Phase Field Modeling of Fracture in Anisotropic Brittle Solids,” International Journal of Non-Linear Mechanics, vol. 97, pp. 1–21, 2017, doi: 10.1016/j.ijnonlinmec.2017.06.018.

M. Sonntag and C.-D. Munz, “Efficient Parallelization of a Shock Capturing for Discontinuous Galerkin Methods using Finite Volume Sub-cells,” Journal of Scientific Computing, vol. 70, pp. 1262–1289, 2017, doi: 10.1007/s10915-016-0287-5.

L. J. Smith, W. F. van Gunsteren, and N. Hansen, “Using Complementary NMR Data Sets To Detect Inconsistencies and Model Flaws in the Structure Determination of Human Interleukin-4,” The Journal of Physical Chemistry B, vol. 121, pp. 7055–7063, 2017, doi: 10.1021/acs.jpcb.7b03647.

L. J. Smith, R. Athill, W. F. van Gunsteren, and N. Hansen, “Interpretation of Seemingly Contradictory Data: Low NMR S 2 Order Parameters Observed in Helices and High NMR S 2 Order Parameters in Disordered Loops of the Protein hGH at Low pH,” Chemistry - A European Journal, vol. 23, pp. 9585–9591, 2017, doi: 10.1002/chem.201700896.

M. Sinsbeck and W. Nowak, “Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems,” SIAM/ASA J. Uncertainty Quantification, vol. 5, Art. no. 1, 2017, doi: 10.1137/15M1047659.

M. Schneider, B. Flemisch, and R. Helmig, “Monotone nonlinear finite-volume method for nonisothermal two-phase two-component flow in porous media,” International Journal for Numerical Methods in Fluids, 2017, doi: 10.1002/fld.4352.

M. Schneider, L. Agelas, G. Enchery, and B. Flemisch, “Convergence of nonlinear finite volume schemes for heterogeneous anisotropic diffusion on general meshes,” Journal of Computational Physics, 2017, doi: 10.1016/j.jcp.2017.09.003.

A. Schmidt and B. Haasdonk, “Reduced Basis Approximation of Large Scale Algebraic Riccati Equations,” ESAIM: COCV, 2017, doi: 10.1051/cocv/2017011.

K. Scheufel and M. Mehl, “Robust multi-secant Quasi- Newton variants for parallel fluid-structure simulations -- and other multiphysics applications,” SIAM Journal on Scientific Computing, vol. 39, pp. 404–433, 2017, doi: 10.1137/16M1082020.

C. W. Scherer and C. Roesinger, “Structured Controller Design With Applications to Networked Systems,” 56th IEEE Conf. Decision and Control, pp. 4771–4776, 2017, doi: 10.1109/CDC.2017.8264365.

K. Scharnowski, S. Frey, B. Raffin, and T. Ertl, “Spline-based Decomposition of Streamed Particle Trajectories for Efficient Transfer and Analysis Conversion,” EuroVis 2017, Short Paper, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1845

G. Santin and B. Haasdonk, “Convergence rate of the data-independent P-greedy algorithm in kernel-based approximation,” Dolomites Research Notes on Approximation, vol. 10, Art. no. 06/2017, 2017, doi: 10.14658/pupj-drna-2017-Special_Issue-9.

O. Sander, T. Koch, N. Schröder, and B. Flemisch, “The Dune FoamGrid implementation for surface and network grids,” Archive of Numerical Software, vol. 5, Art. no. 1, 2017, doi: 10.11588/ans.2017.1.28490.

A. Romer, J. M. Montenbruck, and F. Allgöwer, “Determining dissipation inequalities from input-output samples,” IFAC-PapersOnLine, vol. 50, Art. no. 1, 2017.

D. Pedroso, Y. Zhang, and W. Ehlers, “Solution of Liquid-Gas-Solid Coupled Equations for Porous Media Considering Dynamics and Hysteretic Retention Behavior,” Journal of Engineering Mechanics, vol. 143, p. 4017021, 2017, doi: 10.1061/(ASCE)EM.1943-7889.0001208.

S. Pandey, X. Chu, and E. Laurien, “Investigation of in-tube cooling of carbon dioxide at supercritical pressure by means of direct numerical simulation,” International Journal of Heat and Mass Transfer, vol. 114, pp. 944–957, 2017.

N. Neupert, H. Gomaa, F. Joos, and B. Weigand, “Investigation and modeling of two phase flow through a compressor stage: Analysis of film breakup,” European Journal of Mechanics-B/Fluids, vol. 61, pp. 279–288, 2017.

A. Namhata, L. Zhang, R. M. Dilmore, S. Oladyshkin, and D. V. Nakles, “Modeling Pressure Changes due to Migration of Fluids into the Above Zone Monitoring interval of a Geologic Carbon Storage Site,” International Journal of Greenhouse Gas Control, vol. 56, pp. 30–42, 2017, doi: 10.1016/j.ijggc.2016.11.012.

S. M. Najmabadi et al., “Analyzing the Effect and Performance of Lossy Compression on Aeroacoustic Simulation of Gas Injector,” Computation, vol. 5, 2017, doi: 10.3390/computation5020024.

M. Mordhorst, T. Strecker, D. Wirtz, T. Heidlauf, and O. Röhrle, “POD-DEIM reduction of computational EMG models,” Journal of Computational Science, vol. 19, pp. 86–96, 2017, doi: 10.1016/j.jocs.2017.01.009.

J. M. Montenbruck, D. Zelazo, and F. Allgöwer, “Fekete Points, Formation Control, and the Balancing Problem,” IEEE Trans. Automat. Control, vol. 62, pp. 5069–5081, 2017, doi: 10.1109/TAC.2017.2679073.

J. M. Montenbruck and F. Allgöwer, “An Input-Output Framework for Submanifold Stabilization,” IEEE Trans. Automat. Control, vol. 62, pp. 5170–5184, 2017, doi: 10.1109/TAC.2017.2679480.

J. M. Montenbruck and F. Allgöwer, “Separable matrices and minimum complexity controllers,” Proc. 56th IEEE Conf. Decision and Control (CDC), pp. 4187–4192, 2017, doi: 10.1109/CDC.2017.8264275.

J. Meisner, M. N. Markmeyer, M. U. Bohner, and J. Kästner, “Comparison of classical reaction paths and tunneling paths studied with the semiclassical instanton theory,” Phys. Chem. Chem. Phys., vol. 19, pp. 23085–23094, 2017, doi: 10.1039/C7CP03722H.

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J. Mehne and W. Nowak, “Improving temperature predictions for Li-ion batteries: data assimilation with a stochastic extension of a physically-based, thermo-electrochemical model,” Journal of Energy Storage, vol. 12, pp. 288–296, 2017, doi: 10.1016/j.est.2017.05.013.

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M. Lorenzen, M. A. Müller, and F. Allgöwer, “Stochastic Model Predictive Control without Terminal Constraints,” International Journal of Robust and Nonlinear Control, 2017, doi: 10.1002/rnc.3912.

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J. Veenman, C. W. Scherer, and H. Koroglu, “Robust stability and performance analysis with integral quadratic constraints,” EJC, vol. 31, pp. 1–32, 2016, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0947358016300097

W. F. van?Gunsteren et al., “Deriving Structural Information from Experimentally Measured Data on Biomolecules,” Angewandte Chemie International Edition, vol. 55, pp. 15990–16010, 2016, doi: 10.1002/anie.201601828.

E. J. Trottemant, C. W. Scherer, and M. Mazo, “Optimality of robust disturbance-feedback strategies,” Int. J. Robust Nonlin., vol. 26, Art. no. 7, 2016, doi: 10.1002/rnc.3360.

E. J. Trottemant, M. Mazo, and C. W. Scherer, “Synthesis of Robust Piecewise Affine Output-Feedback Strategies,” J. Guid. Control Dynam., vol. 39, Art. no. 7, 2016, doi: 10.2514/1.G001343.

H. N. Tien, C. W. Scherer, J. M. A. Scherpen, and V. Muller, “Linear Parameter Varying Control of Doubly Fed Induction Machines.,” IEEE Trans. Industrial Electronics, vol. 63, Art. no. 1, 2016, [Online]. Available: http://dblp.uni-trier.de/db/journals/tie/tie63.html#TienSSM16

C. Thomaseth and N. Radde, “Normalization of Western blot data affects the statistics of estimators,” IFAC-PapersOnLine, vol. 49, Art. no. 26, 2016, doi: 10.1016/j.ifacol.2016.12.103.

P. Tempel, A. Verl, and A. Pott, “On the Dynamics and Emergency Stop Behavior of Cable-Driven Parallel Robots,” ROMANSY 21 Robot Design, Dynamics and Control, vol. 569, pp. 431–438, 2016, doi: 10.1007/978-3-319-33714-2_48.

P. Tempel and A. Pott, “Parallele Seilroboter in Theorie und Praxis - Leichtbau, Energieeffizienz und Hohe Dynamiken als Potential, Elastizität als Hauptherausforderung,” wt Werkstattstechnik online Jahrgang 106 (2016), vol. 9, pp. 643–647, 2016, [Online]. Available: http://www.werkstattstechnik.de/wt/get_article.php?dataarticle_id=86418

P. Tempel, “Improved Modeling of Cables for Kinematics and Dynamics of Lightweight Robots (iCaMDyRo),” Im Blickpunkt 2016, 2016, [Online]. Available: http://www.isw.uni-stuttgart.de/files/institut/Blickpunkt-ISW-2016.pdf

A. Sridhar, M.-A. Keip, and C. Miehe, “Homogenization in micro-magneto-mechanics,” Computational Mechanics, vol. 58, pp. 151–169, 2016, doi: 10.1007/s00466-016-1286-y.

L. Smith, W. F. van Gunsteren, and N. Hansen, “On the use of time-averaging restraints when deriving biomolecular structure from 3J-coupling values obtained from NMR experiments,” Journal of Biomolecular NMR, vol. 66, pp. 69–83, 2016, doi: 10.1007/s10858-016-0058-5.

A. V. Shapeev, “Moment tensor potentials: A class of systematically improvable interatomic potentials,” Multiscale Modeling & Simulation, vol. 14, Art. no. 3, 2016.

A. Schöll, C. Braun, and H.-J. Wunderlich, “Applying Efficient Fault Tolerance to Enable the Preconditioned Conjugate Gradient Solver on Approximate Computing Hardware,” Proceedings of the International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), pp. 21–26, 2016, doi: 10.1109/DFT.2016.7684063.

A. Schöll, C. Braun, M. A. Kochte, and H.-J. Wunderlich, “Efficient Algorithm-Based Fault Tolerance for Sparse Matrix Operations,” Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp. 251–262, 2016, doi: 10.1109/DSN.2016.31.

DO. Schulte, W. Rühaak, S. Oladyshkin, B. Welsch, and I. Sass, “Optimization of Medium Deep Borehole Thermal Energy Storages,” Energy Technology, vol. 4, pp. 104–113, 2016, doi: 10.1002/ente.201500254.

P. Schröder, A. Wagner, and W. Ehlers, “Multi-component modelling and simulation of metastases proliferation within brain tissue,” PAMM, vol. 15, pp. 101–102, 2016, [Online]. Available: http://onlinelibrary.wiley.com/doi/10.1002/pamm.201610039/full

M. Schneider, B. Flemisch, and R. Helmig, “Monotone nonlinear finite‐volume method for nonisothermal two‐phase two‐component flow in porous media,” International Journal for Numerical Methods in Fluids, vol. 84, Art. no. 6, 2016, doi: 10.1002/fld.4352.

A. Schmidt and B. Haasdonk, “Reduced basis method for H2 optimal feedback control problems,” Proceedings of CPDE2016, vol. 49, pp. 327–332, 2016, doi: 10.1016/j.ifacol.2016.07.462.

C. W. Scherer, “Lossless $H_ınfty$-synthesis for 2D systems (special issue JCW),” Syst. Control Lett., vol. 95, pp. 25–35, 2016, doi: 10.1016/j.sysconle.2016.02.011.

C. W. Scherer, “Lossless H?-synthesis for 2D systems (special issue JCW),” Syst. Contr. Letters, vol. 35, pp. 25–35, 2016, doi: 10.1016/j.sysconle.2016.02.011.

M. Schenke and W. Ehlers, “Numerical investigation of vacuum-assisted resin transfer moulding (VARTM) within deformable fibre fabrics,” PAMM, vol. 16, pp. 479–480, 2016, doi: 10.1002/pamm.201610228.

O. Röhrle, M. Sprenger, and S. Schmitt, “A two-muscle, continuum-mechanical forward simulation of the upper limb,” Biomechanics and Modeling in Mechanobiology, 2016, doi: 10.1007/s10237-016-0850-x.

O. Röhrle, V. Neumann, and T. Heidlauf, “The Role of Parvalbumin, Sarcoplasmatic Reticulum Calcium Pump Rate, Rates of Cross-Bridge Dynamics, and Ryanodine Receptor Calcium Current on Peripheral Muscle Fatigue: A Simulation Study,” Computational and Mathematical Methods in Medicine, 2016, doi: 10.1155/2016/3180205.

M. Redeker, C. Rohde, and I. S. Pop, “Upscaling of a tri-phase phase-field model for precipitation in porous media,” IMA JOURNAL OF APPLIED MATHEMATICS, vol. 81, Art. no. 5, Oct. 2016, doi: 10.1093/imamat/hxw023.

M. Rambausek, M.-A. Keip, and C. Miehe, “A multiscale view on shape effects in the computational characterization of magnetorheological elastomers,” Proceedings in Applied Mathematics and Mechanics, vol. 16, pp. 383–384, 2016, doi: 10.1002/pamm.201610180.

C. Rahmann, V. Vittal, J. Ascui, and J. Haas, “Mitigation Control against Partial Shading Effects in Large-scale PV Power Plants,” IEEE Transactions on Sustainable Energy, vol. 7, Art. no. 1, 2016, doi: 10.1109/TSTE.2015.2484261.

D. Paul and N. Radde, “Robustness and filtering properties of ubiquitous signaling network motifs,” IFAC-PapersOnLine, vol. 49, Art. no. 26, 2016, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S2405896316327768

W. Nowak and A. Guthke, “Entropy-based experimental design for optimal model discrimination in the geosciences,” Entropy, vol. 18, Art. no. 11, 2016, doi: 10.3390/e18110409.

I. Notarnicola, F. Bayer, G. Notarstefano, and F. Allgöwer, “Final-State Constrained Optimal Control via a Projection Operator Approach,” European Control Conference (ECC), pp. 148–153, 2016, doi: 10.1109/ECC.2016.7810278.

A. Namhata, S. Oladyshkin, RM. Dilmore, L. Zhang, and DV. Nakles, “Probabilistic Assessment of Above Zone Pressure Predictions at a Geologic Carbon Storage Site,” Scientific Reports, vol. 6, p. 39536, 2016, doi: 10.1038/srep39536.

O. Nadgir, M.-A. Keip, and C. Miehe, “An anisotropic phase-field model for transversely isotropic barium titanate with bounded moduli,” Proceedings in Applied Mathematics and Mechanics, vol. 16, pp. 467–468, 2016, doi: 10.1002/pamm.201610222.

S. Most, B. Bijeljic, and W. Nowak, “Evolution and persistence of cross-directional statistical dependence during finite-Pu00e9clet transport through a real porous medium,” Water Resources Research, vol. 52, pp. 8920–8937, 2016, doi: 10.1002/2016WR018969.

J. M. Montenbruck, M. Bürger, and F. Allgöwer, “Compensating Drift Vector Fields with Gradient Vector Fields for Asymptotic Submanifold Stabilization,” IEEE Transactions on Automatic Control, vol. 61, 2016, doi: 10.1109/TAC.2015.2434032.

J. M. Montenbruck and F. Allgöwer, “Asymptotic Stabilization of Submanifolds Embedded in Riemannian Manifolds,” Automatica, vol. 74, pp. 349–359, 2016, doi: 10.1016/j.automatica.2016.07.026.

J. Meisner and J. Kästner, “Atom-Tunneling in Chemistry,” Angewandte Chemie International Edition, vol. 55, pp. 5400–5413, 2016, doi: 10.1002/anie.201511028.

J. Meisner and J. Kästner, “Reaction rates and kinetic isotope effects of H2 + OH ? H2O + H,” The Journal of Chemical Physics, vol. 144, p. 174303, 2016, doi: 10.1063/1.4948319.

S. Mauthe and C. Miehe, “Hydraulic fracture in poro-hydro-elastic media,” Mechanics Research Communications, 2016, doi: 10.1016/j.mechrescom.2016.09.009.

O. Lötgering-Lin, A. Schöniger, W. Nowak, and J. Gross, “Bayesian Model Selection Helps To Choose Objectively between Thermodynamic Models: A Demonstration of Selecting a Viscosity Model Based on Entropy Scaling,” Industrial & Engineering Chemistry Research, vol. 55, pp. 10191–10207, 2016, doi: 10.1021/acs.iecr.6b02671.

C. Luo and W. Ehlers, “A three-dimensional model of hydraulic fracturing,” PAMM, vol. 16, pp. 465–466, 2016, doi: 10.1002/pamm.201610221.

S. Linsenmayer, D. V. Dimarogonas, and F. Allgöwer, “A non-monotonic approach to periodic event-triggered control with packet loss,” Proceedings of the 55th IEEE Conference on Decision and Control (CDC), pp. 507–512, 2016, doi: 10.1109/CDC.2016.7798319.

P. N. Köhler, M. A. Müller, and F. Allgöwer, “A distributed economic MPC scheme for coordination of self-interested systems,” Proceedings of the American Control Conference, pp. 889–894, 2016, doi: 10.1109/ACC.2016.7525027.

A. N. Krishnamoorthy, J. Zeman, C. Holm, and J. Smiatek, “Preferential solvation and ion association properties in aqueous dimethyl sulfoxide solutions,” PCCP, vol. 18, pp. 31312–31322, 2016, doi: 10.1039/C6CP05909K.

T. Koeppl, E. Vidotto, and B. Wohlmuth, “A local error estimate for the Poisson equation with a line source term,” Numerical Mathematics and Advanced Applications ENUMATH 2015, pp. 421–429, 2016, [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-319-39929-4_40

J. Koch and W. Nowak, “Identification of contaminant source architectures - A statistical inversion that emulates multi-phase physics in a computationally practicable manner,” Water Resources Research, vol. 52, pp. 1009–1025, 2016, doi: 10.1002/2015WR017894.

J. Kirch, C. Thomaseth, A. Jensch, and N. Radde, “The effect of model rescaling and normalization on sensitivity analysis on an example of a MAPK pathway model,” EPJ Nonlinear Biomedical Physics, vol. 4:3, 2016, doi: 10.1140/epjnbp/s40366-016-0030-z.

S. Jamei, P. Asgharzadeh, and W. Ehlers, “Partitioned treatment of surface-coupled problems with application to the fluid-porous-media interaction,” PAMM, vol. 16, pp. 507–508, 2016, doi: 10.1002/pamm.201610242.

M.-T. Hütt and N. Radde, “The Physics behind Systems Biology,” Eur Phys J Nonlin Biomed Phys, vol. 4, Art. no. 1, 2016, doi: 10.1140/epjnbp/s40366-016-0034-8.

A. Hofmann, N.-P. Walz, and M. Hanss, “An Approach to Feed-Forward Controller Design for Underactuated Multibody Systems in the Presence of Uncertainty,” Proceedings in Applied Mathematics and Mechanics, vol. 16http://onli, Art. no. 1, 2016, doi: 10.1002/pamm.201610018.

F. Hempert, M. Hoffmann, U. Iben, and C.-D. Munz, “On the simulation of industrial gas dynamic applications with the discontinuous Galerkin spectral element method,” Journal of Thermal Science, vol. 25, pp. 250–257, 2016, [Online]. Available: https://link.springer.com/article/10.1007/s11630-016-0857-8

T. Heidlauf et al., “A multi-scale continuum model of skeletal muscle mechanics predicting force enhancement based on actin--titin interaction,” Biomechanics and Modeling in Mechanobiology, vol. 15, pp. 1423–1437, 2016, doi: 10.1007/s10237-016-0772-7.

M. Hahn, D. Karastoyanova, and F. Leymann, “Data-Aware Service Choreographies through Transparent Data Exchange,” Lecture Notes in Computer Science (LNCS), vol. 9671, pp. 357–364, 2016, doi: 10.1007/978-3-319-38791-8_20.

M. Hahn, D. Karastoyanova, and F. Leymann, “A Management Life Cycle for Data-Aware Service Choreographies,” Proceedings of the the 23rd International Conference on Web Services (ICWS), pp. 364–371, 2016, doi: 10.1109/ICWS.2016.54.

D. Göddeke and M. Altenbernd, “Soft fault detection and correction for multigrid,” The International Journal of High Performance Computing Applications, 2016, doi: 10.1177/1094342016684006.

D. Grunert and J. Fehr, “Identification of Nonlinear Behavior with Clustering Techniques in Car Crash Simulations for Better Model Reduction,” Advanced Modeling and Simulation in Engineering Sciences, vol. 1, pp. 1–19, 2016, doi: 10.1186/s40323-016-0072-x.

M. Geveler, B. Reuter, V. Ayzinger, D. Göddeke, and S. Turek, “Energy efficiency of the simulation of three-dimensional coastal ocean circulation on modern commodity and mobile processors -- A case study based on the Haswell and Cortex-A15 microarchitectures,” Computer Science - Research and Development, vol. 31, pp. 225–234, 2016, doi: 10.1007/s00450-016-0324-5.

E.-M. Geissen, J. Hasenauer, S. Heinrich, S. Hauf, F. J. Theis, and N. E. Radde, “MEMO: multi-experiment mixture model analysis of censored data,” Bioinformatics, 2016, doi: 10.1093/bioinformatics/btw190.

J. Gebhardt and N. Hansen, “Calculation of binding affinities for linear alcohols to alpha-cyclodextrin by twin-system enveloping distribution sampling simulations,” Fluid Phase Equilibria, vol. 422, pp. 1–17, 2016, doi: 10.1016/j.fluid.2016.02.001.

F. Fritzen, L. Xia, M. Leuschner, and P. Breitkopf, “Topology optimization of multiscale elastoviscoplastic structures,” International Journal for Numerical Methods in Engineering, vol. 106, pp. 430–453, 2016, doi: 10.1002/nme.5122.

S. Frey and T. Ertl, “Flow-Based Temporal Selection for Interactive Volume Visualization,” Computer Graphics Forum, p. 11, 2016, doi: 10.1111/cgf.13070.

S. Frey and T. Ertl, “Auto-Tuning Intermediate Representations for In Situ Visualization,” New York Scientific Data Summit, 2016, doi: 10.1109/NYSDS.2016.7747807.

H. Frank and C.-D. Munz, “Direct aeroacoustic simulation of acoustic feedback phenomena on a side-view mirror,” Journal of Sound and Vibration, vol. 371, pp. 132–149, 2016, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0022460X1600136X

B. Flemisch, JM. Nordbotten, W. Nowak, and A. Raoof, “Special Issue on NUPUS: Non-linearities and Upscaling in Porous Media (Editorial),” Transport in Porous Media, vol. 114, pp. 237–2340, 2016, doi: 10.1007/s11242-016-0735-6.

D. Flad, A. Beck, and C.-D. Munz, “Simulation of underresolved turbulent flows by adaptive filtering using the high order discontinuous Galerkin spectral element method,” Journal of Computational Physics, vol. 313, pp. 1–12, 2016, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S002199911500827X

D. Fink and W. Ehlers, “Model reduction for multi-component porous-media models of biological materials using POD-DEIM,” PAMM, vol. 16, pp. 441–442, 2016, doi: 10.1002/pamm.201610209.

T. Fetzer, K. M. Smits, and R. Helmig, “Effect of Turbulence and Roughness on Coupled Porous-Medium/Free-Flow Exchange Processes,” TRANSPORT IN POROUS MEDIA, vol. 114, Art. no. 2, SI, Sep. 2016, doi: 10.1007/s11242-016-0654-6.

M. Fetzer and C. W. Scherer, “A General Integral Quadratic Constraints Theorem with Applications to a Class of Sampled-Data Systems.,” SIAM J. Contr. Optim., vol. 54, Art. no. 3, 2016, doi: 10.1137/140985482.

J. Fernandez et al., “Multiscale musculoskeletal modelling, data--model fusion and electromyography-informed modelling,” Interface Focus, vol. 6, 2016, doi: 10.1098/rsfs.2015.0084.

O. Fernandes, S. Frey, and T. Ertl, “Interpolation-Based Extraction of Representative Isosurfaces,” Lecture Notes in Computer Science, 2016, doi: 10.1007/978-3-319-50835-1_37.

J. Fehr, P. Holzwarth, and P. Eberhard, “Interface and Model Reduction for Efficient Explicit Simulations -a Case Study with Nonlinear Vehicle Crash Models,” Mathematical and Computer Modelling of Dynamical Systems, vol. 22, pp. 380–396, 2016, doi: 10.1080/13873954.2016.1198385.

J. Fehr, J. Fuhrer, C. Kleinbach, M. Hanss, and P. Eberhard, “Fuzzy-Based Analysis of a Hill-Type Muscle Model,” Proceedings in Applied Mathematics and Mechanics, vol. 16, pp. 31–34, 2016, doi: 10.1002/pamm.201610009.

L. Eurich, R. Schott, A. Wagner, A. Roth-Nebelsick, and W. Ehlers, “From functional properties of frost-resistant plant tissues towards customised construction materials - A continuum-mechanical approach,” PAMM, vol. 16, pp. 81–82, 2016, doi: 10.1002/pamm.201610029.

K. Eisenschmidt et al., “Direct numerical simulations for multiphase flows: An overview of the multiphase code FS3D.,” Applied Mathematics and Computation, vol. 272, pp. 508–517, 2016, [Online]. Available: http://dblp.uni-trier.de/db/journals/amc/amc272.html#EisenschmidtEGK16

W. Ehlers and K. Häberle, “Interfacial mass transfer during gas-liquid phase change in deformable porous media with heat transfer,” Transport in Porous Media, vol. 114, pp. 525–556, 2016, doi: 10.1007/s11242-016-0674-2.

F. Drunsel and J. Gross, “Theory of model electrolyte solutions: Assessing the short- and long-ranged contributions by molecular simulations,” Fluid Phase Equilibria, vol. 430, pp. 195–206, 2016, doi: 10.1016/j.fluid.2016.09.026.

F. Drunsel and J. Gross, “Chemical potential of model electrolyte solutions consisting of hard sphere ions and hard dipoles from molecular simulations,” Fluid Phase Equilibria, vol. 429, pp. 205–213, 2016, doi: 10.1016/j.fluid.2016.08.039.

X. Chu, E. Laurien, and D. M. McEligot, “Direct numerical simulation of strongly heated air flow in a vertical pipe,” International Journal of Heat and Mass Transfer, vol. 101, pp. 1163–1176, 2016.

X. Chu and E. Laurien, “Direct numerical simulation of heated turbulent pipe flow at supercritical pressure,” Journal of Nuclear Engineering and Radiation Science, vol. 2, Art. no. 3, 2016.

S.-Y. Chong and O. Röhrle, “Exploring the Use of Non-Image-Based Ultrasound to Detect the Position of the Residual Femur within a Stump,” PLoS ONE, vol. 11, 2016, doi: 10.1371/journal.pone.0164583.

F. D. Brunner, M. A. Müller, and F. Allgöwer, “Enhancing Output Feedback MPC for Linear Discrete-time Systems with Set-valued Moving Horizon Estimation,” 55th IEEE Conference on Decision and Control (CDC), pp. 2733–2738, 2016, doi: 10.1109/CDC.2016.7798675.

F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Numerical Evaluation of a Robust Self-Triggered MPC Algorithm,” 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems, pp. 151–156, 2016, doi: 10.1016/j.ifacol.2016.10.388.

F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “γ-invasive event-triggered and self-triggered control for perturbed linear systems,” 55th IEEE Conference on Decision and Control (CDC), pp. 1346–1351, 2016, doi: 10.1109/CDC.2016.7798453.

F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Dynamic Thresholds in Robust Event-Triggered Control for Discrete-Time Linear Systems,” Proceedings of the European Control Conference (2016), pp. 983–988, 2016, doi: 10.1109/ECC.2016.7810417.

F. D. Brunner, M. Heemels, and F. Allgöwer, “Robust self-triggered MPC for constrained linear systems: A tube-based approach,” Automatica, vol. 72, pp. 73–83, 2016, doi: 10.1016/j.automatica.2016.05.004.

F. D. Brunner, F. A. Bayer, and F. Allgöwer, “Robust Steady State Optimization for Polytopic Systems,” 55th IEEE Conference on Decision and Control (CDC), pp. 4084–4089, 2016, doi: 10.1109/CDC.2016.7798888.

F. D. Brunner and F. Allgöwer, “A Lyapunov Function Approach to the Event-triggered Stabilization of the Minimal Robust Positively Invariant Set,” 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems, pp. 25–30, 2016, doi: 10.1016/j.ifacol.2016.10.367.

V. Bruder, S. Frey, and T. Ertl, “Real-Time Performance Prediction and Tuning for Interactive Volume Raycasting,” SIGGRAPH ASIA 2016 Symposium on Visualization, vol. 7, 2016, doi: 10.1145/3002151.3002156.

S. Bidier and W. Ehlers, “A homogenisation strategy for micromorphic continua based on particle mechanics,” Proceedings in Applied Mathematics and Mechanics, vol. 16, pp. 515–516, 2016, doi: 10.1002/pamm.201610246.

A. D. Beck, D. G. Flad, C. Tonhäuser, G. Gassner, and C.-D. Munz, “On the Influence of Polynomial De-aliasing on Subgrid Scale Models,” Flow, Turbulence and Combustion, vol. 97, Art. no. 2, Sep. 2016, doi: 10.1007/s10494-016-9704-y.

F. Bayer, M. A. Müller, and F. Allgöwer, “Min-max economic model predictive control approaches with guaranteed performance,” 55th IEEE Conference on Decision and Control (CDC), pp. 3210–3215, 2016, doi: 10.1109/CDC.2016.7798751.

F. Bayer, M. Lorenzen, M. A. Müller, and F. Allgöwer, “Robust economic Model Predictive Control using stochastic information,” Automatica, vol. 74, pp. 151–161, 2016, doi: 10.1016/j.automatica.2016.08.008.

F. Bayer, F. D. Brunner, M. Lazar, M. Wijnand, and F. Allgöwer, “A tube-based approach to nonlinear explicit MPC,” 55th IEEE Conference on Decision and Control (CDC), pp. 4059–4064, 2016, doi: 10.1109/CDC.2016.7798884.

A. Barth and T. Stüwe, “Weak convergence of Galerkin approximations of stochastic partial differential equations driven by additive Levy noise,” Mathematics and Computers in Simulation, 2016, [Online]. Available: http://arxiv.org/abs/1603.02422

A. Barth, S. Moreno-Bromberg, and O. Reichmann, “A Non-Stationary Model of Dividend Distribution in A Stochastic Interest-Rate Setting,” Computational Economics, vol. 47, Art. no. 3, 2016, doi: 10.1007/s10614-015-9502-y.

A. Barth and F. Fuchs, “Uncertainty quantification for hyperbolic conservation laws with flux coefficients given by spatiotemporal random fields,” SISC: Meth. and Alg. for Scientific Computing, 2016, [Online]. Available: http://arxiv.org/abs/1402.2156

A. Barth, R. Bürger, I. Kröker, and C. Rohde, “Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: a hybrid stochastic Galerkin approach,” Computers & Chemical Engineering, vol. 89, pp. 11–26, 2016, doi: 10.1016/j.compchemeng.2016.02.016.

K. Baber, B. Flemisch, and R. Helmig, “Modeling drop dynamics at the interface between free and porous-medium flow using the mortar method,” International Journal of Heat and Mass Transfer, vol. 99, pp. 660–671, 2016, doi: 10.1016/j.ijheatmasstransfer.2016.04.014.

S. Alvarez Barcia, M. Russ, J. Meisner, and J. Kästner, “Atom tunnelling in the reaction NH3+ + H2 --> NH4+ + H and its astrochemical relevance,” Faraday Discuss., 2016, doi: 10.1039/C6FD00096G.

E. Altan, A. Zöllner, O. Avci, and O. Röhrle, “Towards modelling skeletal muscle growth and adaptation,” Proceedings in Applied Mathematics and Mechanics, vol. 16, pp. 921–924, 2016, doi: 10.1002/pamm.201610448.

L. Allerhand, E. Gershon., and U. Shaked, “Robust state-feedback control of stochastic state-multiplicative discrete-time linear switched systems with dwell time,” Int. J. Robust Nonlin., vol. 26, Art. no. 2, 2016, doi: 10.1002/rnc.3301.

M. Alkämper, A. Dedner, R. Klöfkorn, and M. Nolte, “The DUNE-ALUGrid Module,” Archive of Numerical Software, vol. 4, pp. 1–28, 2016, doi: 10.11588/ans.2016.1.23252.

J. Veenman, “A general framework for robust analysis and control: an integral quadratic constraint based approach,” Dissertation, Logos Verlag, Berlin, 2015. [Online]. Available: http://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=3963&lng=eng&id=

G. Pessot, R. Weeber, C. Holm, H. Löwen, and A. M. Menzel, “Towards a scale-bridging description of ferrogels and magnetic elastomers,” Journal of Physics: Condensed Matter, 2015, doi: 10.1088/0953-8984/27/32/325105.

J. Missler, D. Schwarzmann, and L. I. Allerhand, “On the Influence of Filter Choice in Output-Feedback MRAC during Adaptation Transients,” in IFAC-PapersOnline, 2015, pp. 505–510. doi: 10.1016/j.ifacol.2015.09.236.

H. Köroglu, C. W. Scherer, and P. Falcone, “Robust Static Output Feedback Synthesis under an Integral Quadratic Constraint on the States,” in Eur. Control Conf., 2015, pp. 3203–3208. doi: 10.1109/ECC.2015.7331027.

E. Gershon, U. Shaked, and L. I. Allerhand, “Stochastic Linear Systems: Robust $H_ınfty$ Control via Vertex-dependent Approach,” in 23rd Med. Conf. Control and Automation, 2015, pp. 638–643. doi: 10.1109/MED.2015.7158818.

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L. I. Allerhand and U. Shaked, “Soft Controller Switching with Guaranteed $H_ınfty$ Performance,” in IFAC-PapersOnline, 2015, pp. 848–853. doi: 10.1016/j.ifacol.2015.09.296.

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S. Zeng and F. Allgöwer, “On the ensemble observability problem for nonlinear systems,” Proceedings of the 54th IEEE Conference on Decision and Control, p. 6, 2015, doi: 10.1109/CDC.2015.7403214.

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M. Wieland, H. Schwarz, U. Breitenbücher, and F. Leymann, “Towards Situation-Aware Adaptive Workflows,” Proceedings of the 13th Intl. Conference on Pervasive Computing and Communications Workshops: 11th Workshop on Context and Activity Modeling and Recognition, 2015, [Online]. Available: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7133989

W. Weimer-Jehle, “Cross-Impact-Analyse,” Methoden der Experten- und Stakeholdereinbindung in der sozialwissenschaftlichen Forschung, pp. 243–258, 2015, doi: 10.1007/978-3-658-01687-6_12.

R. Weeber, S. Kantorovich, and C. Holm, “Ferrogels cross-linked by magnetic particles: Field-driven deformation and elasticity studied using computer simulations,” 2015, [Online]. Available: http://arxiv.org/abs/1504.04280

R. Weeber, S. Kantorovich, and C. Holm, “Ferrogels cross-linked by magnetic nanoparticles - Deformation mechanisms in two and three dimensions studied by means of computer simulations,” Journal of Magnetism and Magnetic Materials, vol. 383, pp. 262–266, 2015, doi: 10.1016/j.jmmm.2015.01.018.

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K. Vukojevic-Haupt, S. Gómez Su00e1ez, F. Haupt, D. Karastoyanova, and F. Leymann, “A Middleware-centric Optimization Approach for the Automated Provisioning of Services in the Cloud,” Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2015, doi: 10.1109/CloudCom.2015.86.

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L. J. Smith, W. F. van Gunsteren, and N. Hansen, “Characterization of the flexible lip regions in bacteriophage lambda lysozyme using MD simulations,” European Biophysics Journal, vol. 44, pp. 235–247, 2015, doi: 10.1007/s00249-015-1018-9.

M. Skouradaki, K. Görlach, M. Hahn, and F. Leymann, “Application of Sub-Graph Isomorphism to Extract Reoccurring Structures from BPMN 2.0 Process Models,” 9th International IEEE Symposium on Service-Oriented System Engineering (SOSE 2015), pp. 11–20, 2015, doi: 10.1109/SOSE.2015.24.

M. Sinsbeck and D. M. Tartakovsky, “Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multi-Fidelity Models,” SIAM/ASA J. Uncertainty Quantification, vol. 3, Art. no. 1, 2015, doi: 10.1137/141001743.

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G. S. Seyboth, D. V. Dimarogonas, K. H. Johansson, P. Frasca, and F. Allgöwer, “On Robust Synchronization of Heterogeneous Linear Multi-Agent Systems with Static Couplings,” Automatica, 2015, doi: 10.1016/j.automatica.2015.01.031.

A. Schöniger, T. Wöhling, and W. Nowak, “A Statistical Concept to Assess the Uncertainty in Bayesian Model Weights and its Impact on Model Ranking and Averaging,” Water Resources Research, 2015, doi: 10.1002/2015WR016918.

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H. Schmauder, M. Burch, and D. Weiskopf, “Visualizing Dynamic Weighted Digraphs with Partial Links,” Proceedings of the 6th International Conference on Information Visualization Theory and Applications, pp. 123–130, 2015, doi: 10.5220/0005303801230130.

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D. Scheer, “In silico science for climate policy: How policy-makers process and use carbon storage simulation data,” Environmental Science & Policy, vol. 74, pp. 148–156, 2015, doi: 10.1016/j.envsci.2014.11.008.

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T. K. Rupp, W. Ehlers, N. Karajan, M. Günther, and S. Schmitt, “A forward dynamics simulation of human lumbar spine flexion predicting the load sharing of intervertebral discs, ligaments, and muscles,” Biomechanics and Modeling in Mechanobiology, 2015, doi: 10.1007/s10237-015-0656-2.

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P. Rauschenberger and B. Weigand, “A Volume-of-Fluid method with interface reconstruction for ice growth in supercooled water,” Journal of Computational Physics, vol. 282, pp. 98–112, 2015, doi: 10.1016/j.jcp.2014.10.037.

N. Radde and S. Klaus, “Bifurcation analysis for intracellular regulation networks based on their circuit structure,” 9th IFAC Symp on Biological and Medical Systems, vol. 48, p. 20, 2015, doi: 10.1016/j.ifacol.2015.10.133.

S. Raafatnia, O. A. Hickey, and C. Holm, “Electrophoresis of a Spherical Polyelectrolyte-Grafted Colloid in Monovalent Salt Solutions: Comparison of Molecular Dynamics Simulations with Theory and Numerical Calculations,” Macromolecules, vol. 48, Art. no. 3, 2015, doi: 10.1021/ma502238z.

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M. A. Müller, D. Liberzon, and F. Allgöwer, “Norm-controllability of nonlinear systems,” IEEE Transactions on Automatic Control, 2015, doi: 10.1109/TAC.2015.2394953.

M. Mordhorst, T. Heidlauf, and O. Röhrle, “Predicting electromyographic signals under realistic conditions using a multiscale chemo-electro-mechanical finite element model,” Interface Focus, vol. 5, pp. 1–11, 2015, doi: 10.1098/rsfs.2014.0076.

J. M. Montenbruck, G. S. Schmidt, G. S. Seyboth, and F. Allgöwer, “On the Necessity of Diffusive Couplings in Linear Synchronization Problems with Quadratic Cost,” IEEE Transactions on Automatic Control, vol. 60, 2015, doi: 10.1109/TAC.2015.2406971.

J. M. Montenbruck, G. S. Schmidt, A. Kecskemethy, and F. Allgöwer, “Two Gradient-Based Control Laws on SE(3) Derived from Distance Functions,” Interdisciplinary Applications of Kinematics, vol. 2, pp. 31–41, 2015, doi: 10.1007/978-3-319-10723-3_4.

J. M. Montenbruck, M. Bürger, and F. Allgöwer, “Practical Synchronization with Diffusive Couplings,” Automatica, vol. 53, pp. 235–243, 2015, doi: 10.1016/j.automatica.2014.12.024.

J. M. Montenbruck, M. Bürger, and F. Allgöwer, “Synchronization of Diffusively Coupled Systems on Compact Riemannian Manifolds in the Presence of Drift,” Systems & Control Letters, vol. 76, pp. 19–27, 2015, doi: 10.1016/j.sysconle.2014.12.004.

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C. Miehe, D. Zäh, and D. Vallicotti, “Computational structural and material stability analysis in finite electro-elasto-statics of electro-active materials,” International Journal for Numerical Methods in Engineering, vol. 102, pp. 1605–1637, 2015, doi: 10.1002/nme.4855.

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C. Miehe, S. Mauthe, and S. Teichtmeister, “Minimization principles for the coupled problem of Darcy-Biot-type fluid transport in porous media linked to phase field modeling of fracture,” Journal of the Mechanics and Physics of Solids, vol. 82, pp. 186–217, 2015, doi: 10.1016/j.jmps.2015.04.006.

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I. Martini and B. Haasdonk, “Output error bounds for the Dirichlet-Neumann reduced basis method,” Lecture Notes in Computational Science and Engineering, vol. 103, pp. 437–445, 2015, doi: 10.1007/978-3-319-10705-9_43.

J. Mabuma, M. Schwarze, C. Hurschler, B. Markert, and W. Ehlers, “Effects of osteoarthritis and pathological walking on contact stresses in femoral cartilage,” Biomechanics and Modeling in Mechanobiology, pp. 1–14, 2015, doi: 10.1007/s10237-015-0663-3.

M. Lorenzen, F. Allgöwer, F. Dabbene, and R. Tempo, “An improved constraint-tightening approach for Stochastic MPC,” Proceedings of the American Control Conference (ACC), pp. 944–949, 2015, doi: 10.1109/ACC.2015.7170855.

M. Lorenzen, F. Allgöwer, F. Dabbene, and R. Tempo, “Scenario-Based Stochastic MPC with Guaranteed Recursive Feasibility,” Proceedings of the IEEE Conference on Decision and Control (CDC), 2015, doi: 10.1109/CDC.2015.7402994.

Y. Liu, A. Fischer, P. Eberhard, and B. Wu, “A high-order full-discretization method using Hermite interpolation for periodic time-delayed differential equations,” Acta Mechanica Sinica, vol. 31, Art. no. 3, 2015, doi: 10.1007/s10409-015-0397-6.

S. Linsenmayer, D. V. Dimarogonas, and F. Allgöwer, “Nonlinear Event-Triggered Platooning Control with Exponential Convergence,” Proceedings of the 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, pp. 138–143, 2015, doi: 10.1016/j.ifacol.2015.10.320.

V. Lesch, A. Heuer, C. Holm, and J. Smiatek, “Solvent effects of 1-ethyl-3-methylimidazolium acetate: solvation and dynamic behavior of polar and apolar solutes,” Physical Chemistry Chemical Physics, vol. 17, Art. no. 13, 2015, doi: 10.1039/c4cp05312e.

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I. Kröker, W. Nowak, and C. Rohde, “A stochastically and spatially adaptive parallel scheme for uncertain and non-linear two-phase flow problems,” Computational Geosciences, vol. 19, Issue 2, pp. 269–284, 2015, doi: 10.1007/s10596-014-9464-5.

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F. Kissling and C. Rohde, “The Computation of Nonclassical Shock Waves in Porous Media with a Heterogeneous Multiscale Method: The Multidimensional Case,” MULTISCALE MODELING & SIMULATION, vol. 13, Art. no. 4, 2015, doi: 10.1137/120899236.

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P. Hirmer, M. Wieland, H. Schwarz, B. Mitschang, U. Breitenbücher, and F. Leymann, “SitRS - A Situation Recognition Service based on Modeling and Executing Situation Templates,” Proceedings of the 9th Symposium and Summer School On Service-Oriented Computing, 2015, [Online]. Available: http://www.summersoc.eu/wp-content/uploads/2015/07/4.4.SitRS_Presentation_SummerSOC15.pdf

P. Hirmer, P. Reimann, M. Wieland, and B. Mitschang, “Extended Techniques for Flexible Modeling and Execution of Data Mashups,” Proceedings of the 4th International Conference on Data Management Technologies and Applications (DATA), 2015, [Online]. Available: http://mashup.inf.usi.ch/challenge/ICWE_2015_Mashup_Challenge_submission_1.pdf

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A. Hemmen and J. Gross, “Transferable Anisotropic United-Atom Force Field Based on the Mie Potential for Phase Equilibrium Calculations: n?Alkanes and n?Olefins,” The Journal of Phisical Chemistry, pp. 11695–11701, 2015, doi: 10.1021/acs.jpcb.5b01354.

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D. Göddeke, M. Altenbernd, and D. Ribbrock, “Fault-tolerant finite-element multigrid algorithms with hierarchically compressed asynchronous checkpointing,” Parallel Computing, vol. 49, pp. 117–135, 2015, doi: 10.1016/j.parco.2015.07.003.

H. Gilbergs, H. Fang, K. Frenner, and W. Osten, “Adaptive state observer and PD control for dynamic perturbations in optical systems,” Optics Express, vol. 23, pp. 4002–4011, 2015, doi: 10.1364/OE.23.004002.

A. Geiges, Y. Rubin, and W. Nowak, “Interactive design of experiments: A priori global versus sequential optimization, revised under changing states of knowledge,” Water Resources Research, vol. 51, Art. no. 10, 2015, doi: 10.1002/2015WR017193.

G. Gassner, M. Staudenmaier, F. Hindenlang, M. Atak, and C.-D. Munz, “A space-time adaptive discontinuous Galerkin scheme,” Computers & Fluids, vol. 117, pp. 247–261, 2015, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0045793015001498

S. Frey, F. Sadlo, and T. Ertl, “Balanced Sampling and Compression for Remote Visualization,” SIGGRAPH Asia 2015 Visualization in High Performance Computing, 2015, doi: 10.1145/2818517.2818529.

F. Franzelin, P. Diehl, and D. Pflüger, “Non-intrusive uncertainty quantification with sparse grids for multivariate peridynamic simulations,” Meshfree Methods for Partial Differential Equations, vol. 100, pp. 115–143, 2015, doi: 10.1007/978-3-319-06898-5.

O. Fernandes et al., “On In-Situ Visualization for Strongly Coupled Partitioned Fluid-Structure Interaction,” VI International Conference on Computational Methods for Coupled Problems in Science and Engineering, 2015, [Online]. Available: http://www.vis.uni-stuttgart.de/~freysn/papers/coupled.pdf

C. Feller and C. Ebenbauer, “Weight recentered barrier functions and smooth polytopic terminal set formulations for linear model predictive control,” Proccedings of the American Control Conference 2015, pp. 1647–1652, 2015, [Online]. Available: http://www.ist.uni-stuttgart.de/institut/mitarbeiter/PDFs_MA-Seiten/CF/acc2015_fellerEbenbauer_final.pdf

J. Fehr, J. Köhler, and C. Kleinbach, “Optimal Forces for the Deceleration of the ES-2 Dummy,” 10th European LS-DYNA Conference 2015, Würzburg, Germany, 2015, [Online]. Available: https://www.dynamore.de/de/download/papers/2015-ls-dyna-europ/documents/sessions-c-1-4/optimal-forces-for-the-deceleration-of-the-es-2-dummy

J. Fehr and C. Kleinbach, “A Comparison between Finite Element Models and MBS Models in Automotive Safety Applications,” Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics, 29.06-02.07 2015, 2015, [Online]. Available: http://www.multibody2015.org/frontal/img/Ebook_Multibody_2015.pdf

J. Fehr and D. Grunert, “Model reduction and clustering techniques for crash simulations,” Proceedings in Applied Mathematics and Mechanics, p. 2, 2015, doi: 10.1002/pamm.201510053.

S. Fechter and C.-D. Munz, “A discontinuous Galerkin-based sharp-interface method to simulate three-dimensional compressible two-phase flow,” International Journal of Numerical Methods in Fluids, vol. 78, pp. 413–435, 2015, doi: 10.1002/fld.4022.

R. Enzenhöfer, W. Nowak, and P. J. Binning, “STakeholder-Objective Risk Model (STORM): Determining the aggregated risk of multiple contaminant hazards in groundwater well catchments,” Advances in Water Resorces, vol. 83, pp. 165–175, 2015, doi: 10.1016/j.advwatres.2015.05.015.

A. P. Eichenberger, W. F. van Gunsteren, S. Riniker, L. von Ziegler, and N. Hansen, “The key to predicting the stability of protein mutants lies in an accurate description and proper configurational sampling of the folded and denatured states,” Biochimica et Biophysica Acta (BBA) - General Subjects, vol. 1850, pp. 983–995, 2015, doi: 10.1016/j.bbagen.2014.09.014.

W. Ehlers and A. Wagner, “Multi-component modelling of human brain tissue: a contribution to the constitutive and computational description of deformation, flow and diffusion processes with application to the invasive drug-delivery problem,” COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, vol. 18, Art. no. 8, Jun. 2015, doi: 10.1080/10255842.2013.853754.

D. Drzisga, R. Helmig, T. Koeppl, U. Pohl, and B. Wohlmuth, “Numerical modeling of compensation mechanisms for peripheral arterial stenoses,” Computers in Biology and Medicine, vol. 70, pp. 190–201, 2015, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0010482516300051

M. Dreyer, W. Konrad, and D. Scheer, “Partizipative Modellierung: Erkenntnisse und Erfahrungen aus einer Methodengenese,” Niederberger, M., Wassermann, S. (Hrsg.): Methoden der Experten- und Stakeholdereinbindung in der sozialwissen-schaftlichen Forschung. Wiesbaden, pp. 261–285, 2015, doi: 10.1007/978-3-658-01687-6.

D. Diehl, J. Kremser, D. Kröner, and C. Rohde, “Numerical solution of Navier-Stokes-Korteweg systems by Local Discontinuous Galerkin methods in multiple space dimensions,” Applied Mathematics and Computation, vol. 272, pp. 309–335, 2015, doi: 10.1016/j.amc.2015.09.080.

C. Dibak, F. Dürr, and K. Rothermel, “Numerical Analysis of Complex Physical Systems on Networked Mobile Devices,” Proceedings of the 12th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS 2015), 2015, doi: 10.1109/MASS.2015.12.

H. Class, A. Kissinger, S. Knopf, W. Konrad, V. Noak, and D. Scheer, “Combined natural and social science approach for regional-scale characterisation of CO2 storage formations and brine migration risks (CO2Brim),” Liebscher, Axel, Münch, Ute (Eds.) Advanced Technologies in Earth Sciences: Geological storage of CO2 - long term security aspects, pp. 209–227, 2015, doi: 10.1007/978-3-319-13930-2.

S.-Y. Chong, B. Dorow, E. Ramasamy, F. Dennerlein, and O. Röhrle, “The use of collision detection to infer multi-camera calibration quality,” Frontiers in Bioengineering and Biotechnology, vol. 3, 2015, doi: 10.3389/fbioe.2015.00065.

M. Bußler, T. Ertl, and F. Sadlo, “Photoelasticity Raycasting,” Computer Graphics Forum, vol. 34, Art. no. 3, 2015, doi: 10.1111/cgf.12626.

F. D. Brunner, M. Lazar, and F. Allgöwer, “Stabilizing Linear Model Predictive Control: On the Enlargement of the Terminal Set,” International Journal of Robust and Nonlinear Control, vol. 25, Art. no. 15, 2015, doi: 10.1002/rnc.3219.

F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Robust Event-Triggered MPC for Constrained Linear Discrete-Time Systems with Guaranteed Average Sampling Rate,” Proceedings of the IFAC Conference on Nonlinear Model Predictive Control (2015), pp. 117–122, 2015, doi: 10.1016/j.ifacol.2015.11.270.

F. D. Brunner, T. M. P. Gommans, W. P. M. H. Heemels, and F. Allgöwer, “Communication Scheduling in Robust Self-Triggered MPC for Linear Discrete-Time Systems,” 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, pp. 132–137, 2015, doi: 10.1016/j.ifacol.2015.10.319.

F. D. Brunner, T. M. P. Gommans, W. P. M. H. Heemels, and F. Allgöwer, “Resource-aware set-valued estimation for discrete-time linear systems,” 54th IEEE Conference on Decision and Control, pp. 5480–5486, 2015, doi: 10.1109/CDC.2015.7403078.

F. Bode, W. Nowak, and M. Loschko, “Optimization for early-warning monitoring networks in well catchments should be multi-objective, risk-prioritized and robust against uncertainty,” Transport in Porous Media, vol. 114, pp. 261–281, 2015, doi: 10.1007/s11242-015-0586-6.

C. Bleiler et al., “Multiphasic modelling of bone-cement injection into vertebral cancellous bone,” International Journal for Numerical Methods in Biomedical Engineering, vol. 31, pp. 37–57, 2015, doi: 10.1002/cnm.2696.

S. Bidier and W. Ehlers, “Grain-scale-based simulation of granular material,” Proceedings in Applied Mathematics and Mechanics, vol. 15, pp. 449–450, 2015, doi: 10.1002/pamm.201510215.

F. Betancourt and C. Rohde, “Finite-Volume Schemes for Friedrichs Systems with Involutions,” Appl. Math. Comput., vol. 272, pp. 420–439, 2015, doi: 10.1016/j.amc.2015.03.050.

F. Bayer, M. A. Müller, and F. Allgöwer, “Average Constraints in Robust Economic Model Predictive Control,” IFAC-PapersOnLine, vol. 48, Art. no. 8, 2015, doi: 10.1016/j.ifacol.2015.08.155.

F. Bayer, M. Lorenzen, M. A. Müller, and F. Allgöwer, “Improving Performance in Robust Economic MPC Using Stochastic Information,” Proc. IFAC Conf. Nonlinear Model Predictive Control (NMPC 15), pp. 411–416, 2015, doi: 10.1016/j.ifacol.2015.11.313.

E. Aydiner, F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Robust Self-Triggered Model Predictive Control for Constrained Discrete-Time LTI Systems based on Homothetic Tubes,” Proceedings of the European Control Conference (2015), pp. 1587–1593, 2015, doi: 10.1109/ECC.2015.7330764.

T. Aven and O. Renn, “An Evaluation of the Treatment of Risk and Uncertainties in the IPCC Reports on Climate Change: An Evaluation of the IPCC Reports on Climate Change,” Risk Analysis, vol. 35, Art. no. 4, 2015, doi: 10.1111/risa.12298.

L. I. Allerhand, “Robust state-feedback control of stochastic state-multiplicative discrete-time linear switched systems with dwell time,” Int. J. Robust Nonlin, 2015, doi: 10.1002/rnc.3301.

L. Allerhand, “Stability of adaptive control in the presence of input disturbances and H?. performance,” Rocond 2015, 2015, doi: 10.1016/j.ifacol.2015.09.437.

Y. Abdelrahman, A. Sahami Shirazi, N. Henze, and A. Schmidt, “Investigation of Material Properties for Thermal Imaging-Based Interaction,” Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015, doi: 10.1145/2702123.2702290.

C. W. Scherer, “$H_ınfty$- and $H_2$-synthesis for nested interconnections: A direct state-space approach by linear matrix inequalities,” in 21st Int. Symp. Math. Theory Netw. and Systems, 2014. [Online]. Available: http://fwn06.housing.rug.nl/mtns2014-papers/fullPapers/0141.pdf

R. Helmig, B. Flemisch, M. Wolff, and B. Faigle, “Efficient modelling of flow and transport in porous media using multi-physics and multi-scale approaches,” in Handbook of Geomathematics, 2nd ed., W. Freeden, Z. Nashed, and T. Sonar, Eds., Berlin, Heidelberg: Springer, 2014, pp. 1–43. doi: 10.1007/978-3-642-27793-1_15-3.

P. Wo?niak, L. Lischke, B. Schmidt, S. Zhao, and M. Fjeld, Thaddeus: a dual device interaction space for exploring information visualisation. 2014. doi: 10.1145/2639189.2639237.

R. Weeber, Simulation of novel magnetic materials in the field of soft matter. 2014. [Online]. Available: http://elib.uni-stuttgart.de/opus/volltexte/2015/9801/

C. W. Scherer, H_?- and H₂-synthesis for nested interconnections: A direct state-space approach by linear matrix inequalities. MTNS 2014, 2014. [Online]. Available: http://fwn06.housing.rug.nl/mtns2014-papers/fullPapers/0141.pdf

R. Rockenfeller, M. Guenther, S. Schmitt, and T. Goetz, Comparing different muscle activation dynamics using sensitivity analysis. 2014. doi: 10.1155/2015/585409.

D. Häufle, M. Günther, G. Wunner, and S. Schmitt, Quantifying control effort of biological and technical movements: an information entropy based approach. 2014. doi: 10.1103/PhysRevE.89.012716.

D. Häufle, M. Günther, A. Bayer, and S. Schmitt, Hill-type muscle model with serial damping and eccentric force-velocity relation. 2014. doi: 10.1016/j.jbiomech.2014.02.009.

M. Funk, A. Sahami Shirazi, N. Henze, and A. Schmidt, Using a touch-sensitive wristband for text entry on smart watches. 2014. doi: 10.1145/2559206.2581143.

M. Funk, R. Boldt, B. Pfleging, M. Pfeiffer, N. Henze, and A. Schmidt, Representing indoor location of objects on wearable computers with head-mounted displays. 2014. doi: 10.1145/2582051.2582069.

S. Zinatbakhsh and W. Ehlers, “Staggered solution of fluid-porous-media interaction using the method of local Lagrange multipliers,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 473–474, 2014, doi: 10.1002/pamm.201410224.

S. Zeng, S. Waldherr, and F. Allgöwer, “An inverse problem of tomographic type in population dynamics,” Decision and Control, pp. 1643–1648, 2014, doi: 10.1109/CDC.2014.7039635.

S. Yu, M. Reble, H. Chen, and F. Allgöwer, “Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control,” Automatica, vol. 50, Art. no. 9, 2014, doi: 10.1016/j.automatica.2014.07.014.

J. Wu, V. Ugrinovskii, and F. Allgöwer, “Cooperative estimation for synchronization of heterogeneous multi-agent systems using relative information,” Proc. IFAC World Congress, pp. 4662–4667, 2014, doi: 10.3182/20140824-6-ZA-1003.01938.

K. Worthmann, M. Reble, L. Grüne, and F. Allgöwer, “The Role of Sampling for Stability and Performance in Unconstrained Nonlinear Model Predictive Control,” SIAM Journal on Control and Optimization, vol. 52, Art. no. 1, 2014, doi: 10.1137/12086652X.

D. Wirtz, D. C. Sorensen, and B. Haasdonk, “A-posteriori error estimation for DEIM reduced nonlinear dynamical systems,” SIAM Journal on Scientific Computing, vol. 36, pp. A311–A338, 2014, doi: 10.1137/120899042.

D. Wirtz, N. Karajan, and B. Haasdonk, “Surrogate modeling of multiscale models using kernel methods,” International Journal for Numerical Methods in Engineering, vol. 101, pp. 1–28, 2014, doi: 10.1002/nme.4767.

A. Weiß, D. Karastoyanova, D. Molnar, and S. Schmauder, “Coupling of Existing Simulations using Bottom-up Modeling of Choreographies,” Workshop on Simulation Technology: Systems for Data Intensive Simulations (SimTech@GI) in Conjunction with INFORMATIK 2014, vol. 101, p. 112, 2014, [Online]. Available: https://www.gi.de/fileadmin/redaktion/2014_LNI/lni-p-232.pdf

A. Weiß and D. Karastoyanova, “A Life Cycle for Coupled Multi-Scale, Multi-Field Experiments Realized through Choreographies,” Proceedings of the 18th IEEE International EDOC Conference, pp. 234–241, 2014, doi: 10.1109/EDOC.2014.39.

A. Weiß and D. Karastoyanova, “Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations,” Computing, pp. 1–29, 2014, doi: 10.1007/s00607-014-0432-7.

A. Wagner and W. Ehlers, “On the multi-component modelling of human brain tissue to survey clinical interventions,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 125–126, 2014, doi: 10.1002/pamm.201410050.

K. Vukojevic-Haupt, F. Haupt, D. Karastoyanova, and F. Leymann, “Service Selection for On-demand Provisioned Services,” Proceedings of the 18th IEEE International EDOC Conference (EDOC 2014), 2014, doi: 10.1109/EDOC.2014.25.

K. Vukojevic-Haupt, F. Haupt, D. Karastoyanova, and F. Leymann, “Replicability of Dynamically Provisioned Scientific Experiments,” Proceedings of the 7th IEEE International Conference on Service Oriented Computing & Applications (SOCA 2014), 2014, doi: 10.1109/SOCA.2014.54.

J. Veenman and C. W. Scherer, “A synthesis framework for robust gain-scheduling controllers,” Automatica, vol. 50, Art. no. 11, 2014, doi: 10.1016/j.automatica.2014.10.002.

J. Veenman and C. W. Scherer, “IQC-synthesis with general dynamic multipliers,” Int. J. Robust Nonlin., vol. 24, Art. no. 17, 2014, doi: 10.1002/rnc.3042.

Q. Tang and P. Eberhard, “Relative observation for multi-robot collaborative localisation based on multi-source signals,” Journal of Experimental & Theoretical Artificial Intelligence, vol. 26, Art. no. 4, 2014, doi: 10.1080/0952813X.2014.930597.

Z. Sun, A. Dadalau, and A. Verl, “Generation of rotation matrix for assembly models with arbitrary angle constraints,” International Journal of Advanced Manufacturing Technology, vol. 74, pp. 563–568, 2014, doi: 10.1007/s00170-014-5907-3.

A. Sorg and M. Bischoff, “Adaptive discrete-continuous modeling of evolving discontinuities,” Engineering Computations, vol. 31, Art. no. 7, 2014, doi: 10.1108/EC-03-2013-0072.

J. Smiatek, A. Wohlfarth, and C. Holm, “The solvation and ion condensation properties for sulfonated polyelectrolytes in different solvents-a computational study,” New Journal of Physics, vol. 16, Art. no. 2, 2014, doi: 10.1088/1367-2630/16/2/025001.

A. Shirazi, Y. Abdelrahman, N. Henze, S. Schneegass, M. Khalilbeigiy, and A. Schmidt, “Exploiting Thermal Reflection for Interactive Systems,” CHI 14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3483–3492, 2014, doi: 10.1145/2556288.2557208.

G. S. Seyboth, J. Wu, J. Qin, C. Yu, and F. Allgöwer, “Collective Circular Motion of Unicycle Type Vehicles with Non-identical Constant Velocities,” IEEE Transactions on Control of Network Systems, vol. 1, Art. no. 2, 2014, doi: 10.1109/TCNS.2014.2316995.

G. S. Seyboth and F. Allgöwer, “Synchronized model matching: a novel approach to cooperative control of non-linear multi-agent systems,” Proc. 19th IFAC World Congress, pp. 1985–1990, 2014, doi: 10.3182/20140824-6-ZA-1003.00983.

M. Sega, S. S. Kantorovich, C. Holm, and A. Arnold, “Communication: Kinetic and pairing contributions in the dielectric spectra of electrolyte solutions,” The Journal of Chemical Physics, vol. 140, Art. no. 21, 2014, doi: 10.1063/1.4880237.

A. Schöniger, T. Wöhling, L. Samaniego, and W. Nowak, “Model selection on solid ground: rigorous comparison of nine ways to evaluate Bayesian evidence,” Water Resources Research, vol. 50, Art. no. 12, 2014, doi: 10.1002/2014WR016062.

A. Schöll, C. Braun, M. Daub, G. Schneider, and H.-J. Wunderlich, “Adaptive Parallel Simulation of a Two-Timescale Model for Apoptotic Receptor-Clustering on GPUs,” 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 424–431, 2014, doi: 10.1109/BIBM.2014.6999195.

S. Schneegass, F. Steimle, A. Bulling, F. Alt, and A. Schmidt, “SmudgeSafe: Geometric Image Transformations for Smudge-resistant User Authentication,” Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014, doi: 10.1145/2632048.2636090.

G. S. Schmidt, C. Ebenbauer, and F. Allgöwer, “Output Regulation for Control Systems on SE(n) : A Separation Principle Based Approach,” Automatic Control, vol. 59, Art. no. 11, 2014, doi: 10.1109/TAC.2014.2320310.

G. S. Schmidt, D. Wilson, F. Allgöwer, and J. Moehlis, “Selective averaging with application to phase reduction and neural control,” Nonlinear Theory and Its Applications, IEICE, vol. 5, Art. no. 4, 2014, doi: 10.1587/nolta.5.424.

A. Schmidt, M. Dihlmann, and B. Haasdonk, “Basis generation approaches for a reduced basis linear quadratic regulator,” Proceedings of MATHMOD 2015, vol. 8, pp. 713–718, 2014, doi: 10.1016/j.ifacol.2015.05.016.

K. S. Schmid, J. Gross, and R. Helmig, “Chemical osmosis in two-phase flow and salinity-dependent capillary pressures in rocks with microporosity,” Water Resources Research, vol. 50, pp. 763–789, 2014, doi: 10.1002/2013WR013848.

M. Schenke and W. Ehlers, “On the simulation of soils under rapid cyclic loading conditions,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 417–418, 2014, doi: 10.1002/pamm.201410196.

D. Scheer and O. Renn, “Public Perception of Geoengineering and Its Consequences for Public Debate,” Climatic Change, vol. 125/3-4, pp. 305–318, 2014, doi: 10.1007/s10584-014-1177-1.

D. Scheer and W. Konrad, “Partizipative Modellierung im Versuchslabor: Das CO2BRIM-Projekt,” DIALOGIK (Hrsg.): Innovativ und partizipativ: Einblicke in die Arbeit von DIALOGIK, Stuttgart, pp. 67–77, 2014, [Online]. Available: http://elib.uni-stuttgart.de/opus/volltexte/2014/9217/pdf/AB030_DIALOGIK.pdf

K. Scharnowski, M. Krone, G. Reina, T. Kulschewski, J. Pleiss, and T. Ertl, “Comparative Visualization of Molecular Surfaces Using Deformable Models,” Computer Graphics Forum, vol. 33, Art. no. 3, 2014, doi: 10.1111/cgf.12375.

R. M. Schaich, M. A. Müller, and F. Allgöwer, “A distributed model predictive control scheme for networks with communication failure,” Proc. of the 19th IFAC World Congress, pp. 12004–12009, 2014, doi: 10.3182/20140824-6-ZA-1003.01507.

F. Sadlo, G. K. Karch, and T. Ertl, “Topological Features in Time-Dependent Advection-Diffusion Flow,” Topological Methods in Data Analysis and Visualization III (Proceedings of TopoInVis 2013), 2014, doi: 10.1007/978-3-319-04099-8_14.

D. Rosato and C. Miehe, “Dissipative ferroelectricity at finite strains. Variational principles, constitutive assumptions and algorithms,” International Journal of Engineering Science, vol. 74, pp. 162–189, 2014, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0020722513001262

D. Roehm, S. Kesselheim, and A. Arnold, “Hydrodynamic interactions slow down crystallization of soft colloids,” Soft Matter, vol. 10, Art. no. 30, 2014, doi: 10.1039/C4SM00686K.

H. Riedmann, B. Kniesner, M. Frey, and C.-D. Munz, “Modeling of combustion and flow in a single element GH2/GO2 combustor,” CEAS Space Journal, vol. 6, pp. 47–59, 2014, doi: 10.1007/s12567-013-0056-3.

M. Reiter, U. Breitenbücher, O. Kopp, and D. Karastoyanova, “Quality of Data Driven Simulation Workflows,” Journal of Systems Integration, vol. 5, Art. no. 1, 2014, [Online]. Available: http://www.si-journal.org/index.php/JSI/article/view/189

P. Reimann, T. Waizenegger, M. Wieland, and H. Schwarz, “Datenmanagement in der Cloud für den Bereich Simulationen und Wissenschaftliches Rechnen,” 2. Workshop Data Management in the Cloud auf der 44. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 2014, [Online]. Available: http://subs.emis.de/LNI/Proceedings/Proceedings232/article176.html

P. Reimann, H. Schwarz, and B. Mitschang, “Data Patterns to Alleviate the Design of Scientific Workflows Exemplified by a Bone Simulation,” 26th International Conference on Scientific and Statistical Database Management (SSDBM 2014), 2014, doi: 10.1145/2618243.2618279.

P. Reimann, H. Schwarz, and B. Mitschang, “A Pattern Approach to Conquer the Data Complexity in Simulation Workflow Design,” On the Move to Meaningful Internet Systems: OTM 2014 Conferences, pp. 21–38, 2014, doi: 10.1007/978-3-662-45563-0_2.

P. Reimann and H. Schwarz, “Simulation Workflow Design Tailor-Made for Scientists,” 26th International Conference on Scientific and Statistical Database Management (SSDBM 2014), 2014, doi: 10.1145/2618243.2618291.

M. Redeker and B. Haasdonk, “A POD-EIM reduced two-scale model for crystal growth,” Advances in Computational Mathematics, 2014, doi: 10.1007/s10444-014-9367-y.

B. Poppinga, A. Sahami Shirazi, N. Henze, W. Heuten, and S. Boll, “Understanding shortcut gestures on mobile touch devices,” Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services, 2014, doi: 10.1145/2628363.2628378.

D. Philipp et al., “MapGENIE: Grammar-enhanced Indoor Map Construction from Crowd-sourced Data,” Proceedings of the 12th IEEE International Conference on Pervasive Computing and Communications (PerCom 2014), 2014, doi: 10.1109/PerCom.2014.6813954.

D. Otto and W. Ehlers, “Model reduction of porous-media problems using proper orthogonal decomposition,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 451–452, 2014, doi: 10.1002/pamm.201410213.

B. Ottenwälder, B. Koldehofe, K. Rothermel, K. Hong, and U. Ramachandran, “RECEP: Selection-based Reuse for Distributed Complex Event Processing,” Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems (DEBS 2014), 2014, doi: 10.1145/2611286.2611297.

W. Nowak, F. Bode, and M. Loschko, “A multi-objective optimization concept for risk-based early-warning monitoring networks in well catchments,” Procedia Environmental Sciences, vol. 25, pp. 191–198, 2014, doi: 10.1016/j.proenv.2015.04.026.

S. Neumann, J. Hasenauer, N. Pollak, and P. Scheurich, “Dominant negative effects of TNF-related apoptosis-inducing ligand (TRAIL) receptor 4 on TRAIL receptor 1 signaling by formation of heteromeric complexes,” JBC, vol. 289, Art. no. 23, 2014, doi: 10.1074/jbc.M114.559468.

M. A. Müller, D. Angeli, F. Allgöwer, R. Amrit, and J. B. Rawlings, “Convergence in economic model predictive control with average constraints,” Automatica, vol. 50, Art. no. 12, 2014, doi: 10.1016/j.automatica.2014.10.059.

M. A. Müller, D. Angeli, and F. Allgöwer, “On necessity and robustness of dissipativity in economic model predictive control,” IEEE Transactions on Automatic Control, vol. 60, Art. no. 6, 2014, doi: 10.1109/TAC.2014.2361193.

M. A. Müller, D. Angeli, and F. Allgöwer, “Performance analysis of economic MPC with self-tuning terminal cost,” Proc. of the American Control Conference (ACC), pp. 2845–2850, 2014, doi: 10.1109/ACC.2014.6858962.

M. A. Müller, D. Angeli, and F. Allgöwer, “On the performance of economic model predictive control with self-tuning terminal cost,” Journal of Process Control, vol. 24, Art. no. 8, 2014, doi: 10.1016/j.jprocont.2014.05.009.

M. A. Müller, D. Angeli, and F. Allgöwer, “Transient average constraints in economic model predictive control,” Automatica, vol. 50, Art. no. 11, 2014, doi: 10.1016/j.automatica.2014.10.024.

M. A. Müller and F. Allgöwer, “Distributed economic MPC: a framework for cooperative control problems,” Proc. of the 19th IFAC World Congress, pp. 1029–1034, 2014, doi: 10.3182/20140824-6-ZA-1003.01177.

M. A. Müller and F. Allgöwer, “Distributed MPC for consensus and synchronization,” J. M. Maestre, R. Negenborn, editors, Distributed MPC Made Easy, pp. 89–100, 2014, doi: 10.1007/978-94-007-7006-5.

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J. M. Montenbruck and F. Allgöwer, “Pinning Capital Stock and Gross Investment Rate in Competing Rationally Managed Firms,” Proc. 19th IFAC World Congress, pp. 10719–10724, 2014, doi: 10.3182/20140824-6-ZA-1003.01449.

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F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Robust Self-Triggered MPC for Constrained Linear Systems.,” Proceedings of the European Control Conference (2014), pp. 472–477, 2014, doi: 10.1109/ECC.2014.6862397.

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T. Blaschek, K. Vukojevic-Haupt, D. Weber, D. Karastoyanova, and T. Ertl, “Towards Automated Analysis of Eye Tracking Studies using the Workflow Technology,” Proceedings of the Workshop on Simulation Technology: Systems for Data Intensive Simulations (INFORMATIK 2014), 2014, [Online]. Available: http://subs.emis.de/LNI/Proceedings/Proceedings232/149.pdf

S. Bidier and W. Ehlers, “Localisation in granular media: Particle approach, homogenisation and continuum modelling,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 575–576, 2014, doi: 10.1002/pamm.201410275.

F. Berg, F. Dürr, and K. Rothermel, “Optimal Predictive Code Offloading,” Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2014, doi: 10.4108/icst.mobiquitous.2014.258023.

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M. Bürger, D. Zelazo, and F. Allgöwer, “Hierarchical Clustering of Dynamical Networks Using a Saddle-Point Analysis,” IEEE Transactions on Automatic Control, vol. 58, pp. 113–124, 2013, doi: 10.1109/TAC.2012.2206695.

F. D. Brunner, M. Lazar, and F. Allgöwer, “An Explicit Solution to Constrained Stabilization via Polytopic Tubes,” 52nd IEEE Conference on Decision and Control, pp. 7721–7727, 2013, doi: 10.1109/CDC.2013.6761115.

C. Breindl, M. Chaves, and F. Allgöwer, “A linear reformulation of Boolean optimization problems and structure identi?cation of gene regulation networks,” Proceedings of the 52nd IEEE Conference on Decision and Control, pp. 733–738, 2013, doi: 10.1109/CDC.2013.6759969.

W. Blajer, R. Seifried, and K. Ko?odziejczyk, “Diversity of Servo-Constraint Problems for Underactuated Mechanical Systems: A Case Study Illustration,” Solid State Phenomena, vol. 198, pp. 473–482, 2013, doi: 10.4028/www.scientific.net/SSP.198.473.

S. Bidier and W. Ehlers, “Particle simulation of granular media and homogenisation towards continuum quantities,” Proceedings in Applied Mathematics and Mechanics, vol. 13, pp. 575–576, 2013, doi: 10.1002/pamm.201310269.

SP. Benson and J. Pleiss, “Incomplete mixing versus clathrate-like structures: a molecular view on hydrophobicity in methanol-water mixtures,” J Mol Model, vol. 19, pp. 3427–3436, 2013, doi: 10.1007/s00894-013-1857-1.

F. Bayer, G. Notarstefano, and F. Allgöwer, “A Projected SQP Method for Nonlinear Optimal Control with Quadratic Convergence,” Proceedings of the 52nd IEEE Conference on Decision and Control, pp. 6463–6468, 2013, doi: 10.1109/CDC.2013.6760912.

F. Bayer, M. Bürger, and F. Allgöwer, “Discrete-time Incremental ISS: A Framework for Robust NMPC,” Proceedings of the 12th IEEE Euorpean Control Conference, pp. 2068–2073, 2013, [Online]. Available: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6669322

P. Baier, F. Dürr, and K. Rothermel, “Efficient Distribution of Sensing Queries in Public Sensing Systems,” Proceedings of the 10th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2013), 2013, doi: 10.1109/MASS.2013.11.

P. Baier, F. Dürr, and K. Rothermel, “Opportunistic Position Update Protocols for Mobile Devices,” Proceedings of the International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), 2013, doi: 10.1145/2493432.2493439.

M. Ashraf, S. Oladyshkin, and W. Nowak, “Geological storage of CO2: global sensitivity analysis and risk assessment using arbitrary polynomial chaos expansion,” International Journal of Greenhouse Gas Control, vol. 19, pp. 704–719, 2013, doi: 10.1016/j.ijggc.2013.03.023.

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A. Arnold, K. Breitsprecher, F. Fahrenberger, S. Kesselheim, O. Lenz, and C. Holm, “Efficient Algorithms for Electrostatic Interactions Including Dielectric Contrasts,” Entropy, vol. 15, Art. no. 11, 2013, doi: 10.3390/e15114569.

V. Andrikopoulos, S. Gómez Saez, D. Karastoyanova, and A. Weiß, “Towards Collaborative, Dynamic & Complex Systems,” Proceedings of the 6th International Conference on Service-Oriented Computing and Applications, pp. 241–245, 2013, doi: 10.1109/SOCA.2013.35.

F. Alt, S. Schneegass, M. Girgis, and A. Schmidt, “Cognitive Effects of Interactive Public Display Applications,” Proceedings of the 2Nd ACM International Symposium on Pervasive Displays, 2013, doi: 10.1145/2491568.2491572.

F. Alt, B. Pfleging, and A. Schmidt, “Sonify - A Platform for the Sonification of Text Messages,” Mensch & Computer 2013 - Tagungsband, pp. 149–158, 2013, doi: 10.1524/9783486781229.149.

A. Abdulle, A. Barth, and C. Schwab, “Multilevel Monte Carlo methods for stochastic elliptic multiscale PDEs,” Multiscale Model. Simul., vol. 11, pp. 1033–1070, 2013, doi: 10.1137/120894725.

J. Veenman and C. W. Scherer, “Robust Gain-scheduled Controller Synthesis is Convex for Systems without Control Channel Uncertainties,” in 51st IEEE Conf. Decision and Control, Hawaii, USA, 2012, pp. 1524–1529. [Online]. Available: https://doi.org/10.1109/CDC.2012.6426978

C. W. Scherer and J. Veenman, “Robust Controller Synthesis is Convex for Systems without Control Channel Uncertainties,” in 7th IFAC Symposium on Robust Control Design, Aalborg, DK: IFAC Proceedings Volumes, 2012, p. 2012. [Online]. Available: https://doi.org/10.3182/20120620-3-DK-2025.00110

C. W. Scherer, “Distributed control with dynamic dissipation constraints,” in 50th Annual Allertin Conference on Communication, Control, and Computing, Monticello, Illinois, 2012, pp. 55–62. [Online]. Available: https://doi.org/10.1109/Allerton.2012.6483199

C. W. Scherer, “Gain-scheduled synthesis with dynamic positive real multipliers,” in 51st IEEE Conf. Decision and Control, Hawaii, USA, 2012, pp. 6641–6646. [Online]. Available: https://doi.org/10.1109/CDC.2012.6426796

J. Chaudenson et al., “PMW Modeling for Attitude Control of a Launcher During Ballistic Phase and Comparative Stability Analysis,” in 7th IFAC Symposium on Robust Control Design, Aalborg, Denmark: IFAC Proceedings Volumes, 2012, pp. 248–253. [Online]. Available: https://doi.org/10.3182/20120620-3-DK-2025.00109

J. Veenman, C. W. Scherer, and I. Köse, “Robust Estimation with Partial Gain-Scheduling Through Convex Optimization,” in Control of Linear Parameter Varying Systems with Applications, J. Mohammadpour and C. W. Scherer, Eds., Springer, 2012, pp. 253–278. [Online]. Available: https://doi.org/10.1007/978-1-4614-1833-7_10

S. Schmitt, D. Häufle, R. Blickhan, and M. Gu?nther, Nature as an engineer: one simple concept of a bio-inspired functional artificial muscle. 2012. doi: 10.1088/1748-3182/7/3/036022.

J. Mohammadpour and C. W. Scherer, Control of Linear Parameter Varying Systems with Applications. Springer-Verlag, 2012. [Online]. Available: http://www.springer.com/us/book/9781461418320

H. A. ElMaraghy, Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, 2012. doi: 10.1007/978-3-642-23860-4.

A. Dedner, B. Flemisch, and R. Klöfkorn, Advances in DUNE. Proceedings of the 1st DUNE User Meeting. Springer, 2012. doi: 10.1007/978-3-642-28589-9.

J. Chaudenson, D. Beauvois, S. Bennani, M. Ganet-Schoeller, G. Sandou, C, and C. Frechin, PWM Modeling for Attitude Control of a Launcher During Ballistic Phase and Comparative Stability Analysis. 7th IFAC Symposium on Robust Control Design, 2012. doi: 10.3182/20120620-3-DK-2025.00109.

M. Üffinger, F. Sadlo, M. Kirby, C. Hansen, and T. Ertl, “FTLE Computation Beyond First-Order Approximation,” Eurographics Short Papers, 2012, doi: 10.2312/conf/EG2012/short/061-064.

M. Üffinger, F. Sadlo, and T. Ertl, “A Time-Dependent Vector Field Topology Based on Streak Surfaces,” IEEE Transaction on Visualization and Computer Graphics, 2012, doi: 10.1109/TVCG.2012.131.

S. Zinatbakhsh, B. Markert, and W. Ehlers, “Stability Analysis of Decoupled Solution Strategies for Coupled Multi-field Problems - A General Framework,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 359–360, 2012, doi: 10.1002/pamm.201210168.

S. Yu, C. Böhm, H. Chen, and F. Allgöwer, “Model predictive control of constrained LPV systems,” International Journal of Control, vol. 85, Art. no. 6, 2012, doi: 10.1080/00207179.2012.661878.

J. Wu and F. Allgöwer, “A constructive approach to synchronization using relative information,” Proceedings of the 51st IEEE Conference on Decision and Control, 2012, doi: 10.1109/CDC.2012.6426372.

M. Wolff, B. Flemisch, R. Helmig, and I. Aavatsmark, “Treatment of tensorial relative permeabilities with multipoint flux approximation,” Int. J. Numer. Anal. Mod., vol. 9, Art. no. 3, 2012.

D. Wirtz and B. Haasdonk, “Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems,” System and Control Letters, vol. 61, pp. 203–211, 2012, doi: 10.1016/j.sysconle.2011.10.012.

D. Wirtz and B. Haasdonk, “A-posteriori error estimation for parameterized kernel-based systems,” Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012, doi: 10.3182/20120215-3-at-3016.00135.

M. Weigel, A. Arnold, and P. Virnau, “Editorial,” The European Physical Journal Special Topics, 2012, doi: 10.1140/epjst/e2012-01633-0.

R. Weeber, S. Kantorovich, and C. Holm, “Deformation mechanisms in 2D magnetic gels studied by computer simulations,” Soft Matter, vol. 8, p. 9923, 2012, doi: 10.1039/C2SM26097b.

P. Weber, A. Kramer, C. Dingler, and N. Radde, “Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study,” Bioinformatics, vol. 28, pp. i535–i541, 2012, doi: 10.1093/bioinformatics/bts377.

Y. K. Wang, M. P. Nash, A. J. Pullan, J. A. Kieser, and O. Röhrle, “Model-based Identification of Motion Sensor Placement for Tracking Retraction and Elongation of the Tongue,” Biomechanics and Modeling in Mechanobiology, 2012, doi: 10.1007/s10237-012-0407-6.

L. Walter, P. J. Binning, S. Oladyshkin, B. Flemisch, and H. Class, “Brine migration resulting from CO2 injection into saline aquifers - An approach to risk estimation including various levels of uncertainty,” International Journal of Greenhouse Gas Control, vol. 9, pp. 495–506, 2012, doi: 10.1016/j.ijggc.2012.05.004.

S. Waldherr and B. Haasdonk, “Efficient parametric analysis of the chemical master equation through model order reduction,” BMC Systems Biology, vol. 6, 2012, doi: 10.1186/1752-0509-6-81.

S. Wagner, C. Fehling, D. Karastoyanova, and D. Schumm, “State Propagation-based Monitoring of Business Transactions,” Proceedings of the International Conference on Service-Oriented Computing and Applications, 2012, doi: 10.1109/SOCA.2012.6449464.

A. Wagner and W. Ehlers, “Multiphasic modelling of human brain tissue for intracranial drug-infusion studies,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 107–110, 2012, doi: 10.1002/pamm.201210045.

C. Vehlow et al., “Uncertainty-aware visual analysis of biochemical reaction networks,” Proc. of the IEEE Symp on Biol Data Visualization, pp. 79–82, 2012, doi: 10.1109/BioVis.2012.6378598.

J. Veenman, C. W. Scherer, and I. E. Koese, “Robust Estimation with Partial Gain-Scheduling through Convex Optimization,” Control of Linear Parameter Varying Systems with Applications, pp. 253–278, 2012, doi: 10.1007/978-1-4614-1833-7_10.

M. Troldborg, W. Nowak, I. Lange, M. Santos, P. Binning, and P. L. Bjerg, “Application of Bayesian geostatistics for evaluation of mass discharge uncertainty at contaminated sites,” Water Resources Research, vol. 48, Art. no. W09535, 2012, doi: 10.1029/2011WR011785.

M. Tkachuk and C. Linder, “The maximal advance path constraint for the homogenization of materials with random network microstructure,” Philosophical Magazine, vol. 92, pp. 2779–2808, 2012, [Online]. Available: http://dx.doi.org/10.1080/14786435.2012.675090

D. M. Tartakovsky, W. Nowak, and D. Bolster, “Introduction to the special issue on uncertainty quantification and risk assessment,” Advances in Water Resources, vol. 36, pp. 1–2, 2012, doi: 10.1016/j.advwatres.2011.12.010.

M. Sprenger, S. Schmitt, and O. Röhrle, “Coupling 3D and 1D Skeletal Muscle Models,” PAMM, vol. 12, pp. 111–112, 2012, doi: 10.1002/pamm.201210046.

M. Sonntag and D. Karastoyanova, “Ad hoc Iteration and Re-execution of Activities in Workflows,” International Journal on Advances in Software, vol. 5, pp. 91–109, 2012, [Online]. Available: http://www.iariajournals.org/software/soft_v5_n12_2012_paged.pdf

T. Shiiba, J. Fehr, and P. Eberhard, “Flexible Multibody Simulation of Automotive Systems with Non-modal Model Reduction Techniques,” Vehicle System Dynamics, vol. 50, 2012, doi: 10.1080/00423114.2012.700403.

G. S. Seyboth, G. S. Schmidt, and F. Allgöwer, “Cooperative control of linear parameter-varying systems,” Proc. American Control Conference (ACC), pp. 2407–2412, 2012, doi: 10.1109/ACC.2012.6314912.

G. S. Seyboth, G. S. Schmidt, and F. Allgöwer, “Output Synchronization of Linear Parameter-varying Systems via Dynamic Couplings,” Proc. 51st IEEE Conference on Decision and Control (CDC), pp. 3777–3782, 2012, doi: 10.1109/CDC.2012.6426752.

G. S. Seyboth, D. V. Dimarogonas, K. H. Johansson, and F. Allgöwer, “Static Diffusive Couplings in Heterogeneous Linear Networks,” Proc. 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NECSYS), pp. 258–263, 2012, doi: 10.3182/20120914-2-US-4030.00041.

A. Schöniger, W. Nowak, and H.-J. Hendricks Franssen, “Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography,” Water Resources Research, vol. 48, 2012, doi: 10.1029/2011WR010462.

F. Schäfer, L. Walter, H. Class, and C. Müller, “The regional pressure impact of CO storage: a showcase study from the North German Basin,” Environmental Earth Sciences, vol. 65, pp. 2037–2049, 2012, doi: 10.1007/s12665-011-1184-8.

D. Schumm, D. Dentsas, M. Hahn, D. Karastoyanova, F. Leymann, and M. Sonntag, “Web Service Composition Reuse through Shared Process Fragment Libraries,” Proceedings of the 12th International Conference on Web Engineering (ICWE 2012), 2012, doi: 10.1007/978-3-642-31753-8_53.

G. S. Schmidt, C. Ebenbauer, and F. Allgower, “A solution for a class of output regulation problems on SO(n),” American Control Conference, pp. 1773–1779, 2012, doi: 10.1109/ACC.2012.6315147.

G. S. Schmidt, A. Papachristodoulou, U. Münz, and F. Allgöwer, “Frequency synchronization and phase agreement in Kuramoto oscillator networks with delays,” Automatica, vol. 48, Art. no. 12, 2012, doi: 10.1016/j.automatica.2012.08.013.

D. Schittler, J. Hasenauer, and F. Allgöwer, “A model for proliferating cell populations that accounts for cell types,” Proc. of the 9th Workshop on Comp. Syst. Biol., pp. 79–82, 2012, [Online]. Available: http://www.cs.tut.fi/wcsb12/WCSB2012.pdf#page=87

C. W. Scherer and I. E. Köse, “Gain-scheduled control synthesis using dynamic $D$-scales,” IEEE T. Automat. Contr., vol. 57, Art. no. 9, Sep. 2012, [Online]. Available: https://doi.org/10.1109/TAC.2012.2184609

M. Schenke, B. Markert, and W. Ehlers, “On the dynamic behaviour of fluid-saturated soil within the framework of elasto-plasticity,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 753–754, 2012, doi: 10.1002/pamm.201210365.

M. Schenke and W. Ehlers, “On the Analysis of Porous Media Dynamics using a DUNE-PANDAS Interface,” Advances in DUNE - Proceedings of the DUNE User Meeting, pp. 157–167, 2012, doi: 10.1007/978-3-642-28589-9_12.

F. Sadlo, M. Üffinger, T. Ertl, and D. Weiskopf, “On the Finite-Time Scope for Computing Lagrangian Coherent Structures from Lyapunov Exponents,” TopoInVis 2011, vol. 0, p. 14, 2012, doi: 10.1007/978-3-642-23175-9_18.

O. Röhrle, J. B. Davidson, and A. J. Pullan, “A physiologically based, multi-scale model of skeletal muscle structure and function,” Frontiers in Striated Muscle Physiology, vol. 3, 2012, doi: 10.3389/fphys.2012.00358.

D. Röhm and A. Arnold, “Lattice boltzmann simulations on GPUs with ESPResSo,” The European Physical Journal Special Topics, vol. 210, Art. no. 1, 2012, doi: 10.1140/epjst/e2012-01639-6.

T. Ruiner, J. Fehr, B. Haasdonk, and P. Eberhard, “A-posteriori Error Estimation for Second Order Mechanical Systems. Acta Mechanica Sinica,” Acta Mechanica Sinica, vol. 28, pp. 854–862, 2012, doi: 10.1007/s10409-012-0114-7.

T. Richter et al., “ViPLab: a virtual programming laboratory for mathematics and engineering,” Interactive Technology and Smart Education, vol. 9, pp. 246–262, 2012, doi: 10.1109/ISM.2011.95.

M. Reiter et al., “On Analyzing Quality of Data Influences on Performance of Finite Elements driven Computational Simulations,” Proceedings of the 18th International Conference, Euro-Par 2012, vol. 7484, pp. 793–804, 2012, doi: 10.1007/978-3-642-32820-6_79.

M. Reble, E. Quevedo, and F. Allgöwer, “Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms,” Proceedings of the 51st IEEE Conference on Decision and Control, pp. 1625–1630, 2012, doi: 10.1109/CDC.2012.6426743.

M. Reble, E. Quevedo, and F. Allgöwer, “A Unifying Framework for Stability in MPC using a Generalized Integral Terminal Cost,” Proceedings of the American Control Conference, pp. 1211–1216, 2012, doi: 10.1109/ACC.2012.6315070.

P. Rauschenberger, J. Schlottke, and B. Weigand, “A Computation Technique for Rigid Particle Flows in an Eulerian Framework Using the Multiphase DNS Code FS3D,” High Performance Computing in Science and Engineering 11 Transactions of the High Performance Computing Center, Stuttgart (HLRS), 2012, doi: 10.1007/978-3-642-23869-7_23.

N. Radde, “Analyzing fixed points of intracellular regulation networks with complex feedback topology,” BMC Syst Biol, vol. 6, Art. no. 57, 2012, doi: 10.1186/1752-0509-6-57.

I. Polhat and C. W. Scherer, “Stability Analysis for Bilateral Teleoperation: An IQC Formulation,” IEEE T. Robot., vol. 28, pp. 1294–1308, 2012, doi: 10.1109/TRO.2012.2209230.

I. Polat and C. W. Scherer, “Stability Analysis for Bilateral Teleoperation: An IQC Formulation,” IEEE T. Robot., vol. 28, Art. no. 6, Dec. 2012, [Online]. Available: https://doi.org/10.1109/TRO.2012.2209230

B. Pfleging, S. Schneegass, and A. Schmidt, “Multimodal Interaction in the Car - Combining Speech and Gestures on the Steering Wheel,” Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2012, doi: 10.1145/2390256.2390282.

B. Pfleging, T. Döring, I. Alvarez, M. Kranz, G. Weinberg, and J. Healey, “AutoNUI: 2nd Workshop on Automotive Natural User Interfaces,” Adjunct Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2012, [Online]. Available: http://www.auto-ui.org/12/docs/AutomotiveUI-2012-Adjunct-Proceedings.pdf#page=41

B. Pfleging, F. Alt, and A. Schmidt, “Meaningful Melodies - Personal Sonification of Text Messages for Mobile Devices,” Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services companion, pp. 189–192, 2012, doi: 10.1145/2371664.2371706.

S. Oladyshkin and M. Panfilov, “Open thermodynamic model for compressible multicomponent two-phase flow in porous media,” Journal of Petroleum Science and Engineering, vol. 81, pp. 41–48, 2012, doi: 10.1016/j.petrol.2011.12.001.

S. Oladyshkin and W. Nowak, “Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion,” Reliability Engineering and System Safety, vol. 106, pp. 179–190, 2012, doi: 10.1016/j.ress.2012.05.002.

S. Oladyshkin and W. Nowak, “Polynomial response surfaces for probabilistic risk assessment and risk control via robust design,” Novel Approaches and Their Applications in Risk. ISBN: 978-953-51-0519-0, pp. 317–344, 2012, doi: 10.5772/38170.

S. Oladyshkin, F. P. J. de Barros, and W. Nowak, “Global sensitivity analysis: a flexible and efficient framework with an example from stochastic hydrogeology,” Advances in Water Resources, vol. 37, pp. 10–22, 2012, doi: 10.1016/j.advwatres.2011.11.001.

C. Nowakowski, J. Fehr, M. Fischer, and P. Eberhard, “Model Reduction in Elastic Multibody Systems using the Floating Frame of Reference Formulation,” Mathematical Modelling, vol. 7, pp. 40–48, 2012, doi: 10.3182/20120215-3-AT-3016.00007.

W. Nowak, Y. Rubin, and F. P. J. de Barros, “A Hypothesis-Driven Approach to Optimal Site Investigation,” Water Resources Research, vol. 48, p. W06509, 2012, doi: 10.1029/2011WR011016.

A. Nowak, D. Karastoyanova, F. Leymann, A. Rapoport, and D. Schumm, “Flexible Information Design for Business Process Visualizations,” Proceedings of the International Conference on Service-Oriented Computing and Applications, 2012, doi: 10.1109/SOCA.2012.6449436.

J. M. Nordbotten et al., “Uncertainties in practical simulation of CO2 storage,” International Journal of Greenhouse Gas Control, vol. 9, pp. 234–242, 2012, doi: 10.1016/j.ijggc.2012.03.007.

M. A. Müller, B. Schürmann, and F. Allgöwer, “Robust cooperative control of dynamically decoupled systems via distributed MPC,” Proceedings of the IFAC Conference on Nonlinear Model Predictive Control, pp. 412–417, 2012, doi: 10.3182/20120823-5-NL-3013.00007.

M. A. Müller, M. Reble, and F. Allgöwer, “Cooperative control of dynamically decoupled systems via distributed model predictive control,” International Journal of Robust and Nonlinear Control, vol. 22, pp. 1376–1397, 2012, doi: 10.1002/rnc.2826.

M. A. Müller, D. Liberzon, and F. Allgöwer, “Relaxed conditions for norm-controllability of nonlinear systems,” Proceedings of the 51st IEEE Conference on Decision and Control (CDC), pp. 314–319, 2012, doi: 10.1109/CDC.2012.6426430.

M. A. Müller and F. Allgöwer, “Improving performance in model predictive control: switching cost functionals under average dwell-time,” Automatica, Elsevier, vol. 48, pp. 402–409, 2012, doi: 10.1016/j.automatica.2011.11.005.

M. A. Müller and F. Allgöwer, “Robustness of steady-state optimality in economic model predictive control,” Proceedings of the 51st IEEE Conference on Decision and Control (CDC), pp. 1011–1016, 2012, doi: 10.1109/CDC.2012.6426754.

D. Molnar, C. Niedermeier, P. Binkele, A. Mora, and S. Schmauder, “Activation Energies for Nucleation and Growth and Critical Cluster Size Dependence in JMAK Analyses of Kinetic Monte-Carlo Simulations of Precipitation,” Continuum Mechanics and Thermodynamics, vol. 24, pp. 607–617, 2012, doi: 10.1007/s00161-012-0258-5.

D. Molnar et al., “Multiscale simulations on the coarsening of Cu-rich precipitates in α-Fe using kinetic Monte Carlo, Molecular Dynamics and Phase-Field simulations,” Acta Materialia, vol. 60, p. 6961?6971, 2012, doi: 10.1016/j.actamat.2012.08.051.

D. Molnar, F. Maier, P. Binkele, and S. Schmauder, “Molecular Dynamics simulations on the coherency of Cu nano precipitates in BCC-Fe,” Proceedings of the 20th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), 2012, [Online]. Available: http://eccomas2012.conf.tuwien.ac.at/

D. Molnar, P. Binkele, S. Hocker, and S. Schmauder, “Atomistic multiscale simulations on the anisotropic tensile behaviour of copper-alloyed alpha-iron at different states of thermal ageing,” Philosophical Magazine, vol. 92, pp. 586–607, 2012, doi: 10.1080/14786435.2011.630690.

C. Miehe, D. Zäh, and D. Rosato, “Variational-Based Modeling of Micro-Electro-Elasticity with Electric Field- and Stress-Driven Domain Evolution,” International Journal for Numerical Methods in Engineering, vol. 91, Art. no. 2, 2012, doi: 10.1002/nme.4254.

C. Miehe and G. Ethiraj, “A Geometrically Consistent Incremental Variational Formulation for Phase Field Models in Micromagnetics,” Computer Methods in Applied Mechanics and Engineering, 2012, doi: 10.1016/j.cma.2012.03.021.

C. Miehe, “Mixed variational principles for the evolution problem of gradient-extended dissipative solids,” GAMM-Mitteilungen, vol. 35, pp. 8–25, 2012, doi: 10.1002/gamm.201210002.

O. Meister, K. Rahnema, and M. Bader, “cover A Software Concept for Cache-Efficient Simulation on Dynamically Adaptive Structured Triangular Grids,” Advances in Parallel Computing, vol. 22, pp. 251–260, 2012, doi: 10.3233/978-1-61499-041-3-251.

N. M. Mascarenhas and J. Kästner, “Are different stoichiometries feasible for complexes between lymphotoxin-alpha and tumor necrosis factor receptor 1?,” BMC Structural Biology, vol. 12, p. 8, 2012, doi: 10.1186/1472-6807-12-8.

J. Mabuma, B. Markert, and W. Ehlers, “Towards a Method for Parameter Estimation of Articular Cartilage and a Staggered Procedure for Synovial Fluid-Cartilage Interaction,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 129–130, 2012, doi: 10.1002/pamm.201210055.

C. Linder and C. Miehe, “Effect of electric displacement saturation on the hysteretic behavior of ferroelectric ceramics and the initiation and propagation of cracks in piezoelectric ceramics,” Journal of the Mechanics and Physics of Solids, vol. 60, pp. 882–903, 2012, doi: 10.1016/j.jmps.2012.01.012.

C. Linder, “An analysis of the exponential electric displacement saturation model in fracturing piezoelectric ceramics,” Technische Mechanik, 2012, [Online]. Available: http://www.uni-magdeburg.de/ifme/zeitschrift_tm/2012_Heft1/04_Linder.pdf

P. Leube, W. Nowak, and G. Schneider, “Temporal Moments revisited: Why there is no better way for physically-based model reduction in time,” Water Resources Research, vol. 48, Art. no. 11, 2012, doi: 10.1029/2012WR011973.

P. Leube, A. Geiges, and W. Nowak, “Bayesian assessment of the expected data impact on prediction confidence in optimal sampling design,” Water Resources Research, vol. 48, Art. no. 2, 2012, doi: 10.1029/2010WR010137.

I. Kröker and C. Rohde, “Finite volume schemes for hyperbolic balance laws with multiplicative noise,” Applied Numerical Mathematics, vol. 62, pp. 441–456, 2012, doi: 10.1016/j.apnum.2011.01.011.

R. Krause, D. Schittler, S. Waldherr, F. Allgöwer, B. Markert, and W. Ehlers, “Remodelling Processes in Bones: A Biphasic Porous Media Model,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 131–132, 2012, doi: 10.1002/pamm.201210056.

B. Koldehofe, B. Ottenwälder, K. Rothermel, and U. Ramachandran, “Moving Range Queries in Distributed Complex Event Processing,” Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems (DEBS), 2012, doi: 10.1145/2335484.2335507.

B. Koldehofe, F. D?rr, M. A. Tariq, and K. Rothermel, “The Power of Software-defined Networking: Line-rate Content-based Routing Using OpenFlow,” Proceedings of the 7th MW4NG Workshop of the 13th International Middleware Conference, 2012, doi: 10.1145/2405178.2405181.

A. Kohler and M. Radetzki, “Optimized Reduce for Mesh-Based NoC Multiprocessors,” Proceedings of the International Parallel & Distributed Processing Symposium, Workshops & PhD forum (IPDPSW ’12), 2012, doi: 10.1109/IPDPSW.2012.111.

A. Kohler, P. Gschwandtner, M. Radetzki, and T. Fahringer, “Low-Latency Collectives for the Intel SCC,” Proceedings of the International Conference on Cluster Computing (CLUSTER ’12), 2012, doi: 10.1109/CLUSTER.2012.58.

A. Kohler, J. M. Castillo-Sanchez, J. Gross, and M. Radetzki, “Minimal MPI as Programming Interface for Multicore System-on-Chips,” Proceedings of the Forum on Specification and Design Languages (FDL ’12), 2012, [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6336998

D. Koch and W. Ehlers, “On the flow characteristics of a geothermal plant in a heterogeneous subsurface,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 373–374, 2012, doi: 10.1002/pamm.201210175.

F. Kissling, R. Helmig, and C. Rohde, “Simulation of Infiltration Processes in the Unsaturated Zone Using a Multiscale Approach,” Vadose Zone Journal, vol. 11, Art. no. 3, 2012, doi: 10.2136/vzj2011.0193.

J. H. K. Kim, M. L. Trew, A. J. Pullan, and O. Röhrle, “Simulating a dual-array electrode configuration to investigate the influence of skeletal muscle fatigue following functional electrical stimulation,” Computers in Biology and Medicine, vol. 42, pp. 915–924, 2012, doi: 10.1016/j.compbiomed.2012.07.004.

J. Kelkel and C. Surulescu, “A Multiscale Approach to Cell Migration in Tissue Networks,” Mathematical Models and Methods in Applied Sciences (M3AS), vol. 22, Art. no. 3, 2012, doi: 10.1142/S0218202511500175.

G. K. Karch, F. Sadlo, D. Weiskopf, C.-D. Munz, and T. Ertl, “Visualization of Advection-Diffusion in Unsteady Fluid Flow,” Computer Graphics Forum (Proceedings of EUROVIS 2012), vol. 31, Art. no. 3, 2012, doi: 10.1111/j.1467-8659.2012.03103.x.

G. K. Karch, F. Sadlo, D. Weiskopf, C. D. Hansen, G.-S. Li, and T. Ertl, “Dye-Based Flow Visualization,” IEEE Computing in Science and Engineering, vol. 14, Art. no. 6, 2012, doi: 10.1109/MCSE.2012.118.

D. Karastoyanova, D. Dentsas, D. Schumm, M. Sonntag, L. Sun, and K. Vukojevic, “Service-based Integration of Human Users in Workflow-driven Scientific Experiments,” Proceedings of the 8th IEEE International Conference on eScience, pp. 1–8, 2012, doi: 10.1109/eScience.2012.6404435.

F. Jaegle, C. Rohde, and C. Zeiler, “A multiscale method for compressible liquid-vapor flow with surface tension,” ESAIM Proceedings, vol. 38, pp. 387–408, 2012, doi: 10.1051/proc/201238022.

E. A. Jaegle and E. J. Mittemeijer, “Interplay of kinetics and microstructure in the recrystallisation of pure copper: comparing mesoscopic simulations and experiments,” Metallurgical and Materials Transactions, vol. 43, Art. no. 7, 2012, doi: 10.1007/s11661-012-1094-8.

A. S. Jackson, I. Rybak, R. Helmig, W. G. Gray, and C. T. Miller, “Thermodynamically Constrained Averaging Theory Approach for Modeling Flow and Transport Phenomena in Porous Medium Systems: 9. Transition Region Models,” Advances in Water Resources, 2012, doi: 10.1016/j.advwatres.2012.01.006.

K. Häberle and W. Ehlers, “Carbon-dioxide storage and phase transitions: towards an understanding of crack development in the cap-rock layer,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 377–378, 2012, doi: 10.1002/pamm.201210177.

M. Hofacker and C. Miehe, “Continuum phase field modeling of dynamic fracture: Variational principles and staggered FE implementation,” International Journal of Fracture, vol. 178, pp. 113–129, 2012, doi: 10.1007/s10704-012-9753-8.

F. E. Hildebrand and C. Miehe, “Comparison of two bulk energy approaches for the phasefield modeling of two-variant martensitic laminate microstructure,” Technische Mechanik, vol. 32, pp. 3–20, 2012, [Online]. Available: http://www.ovgu.de/ifme/zeitschrift_tm/02_HTML_Inhalt/2012.htm

F. E. Hildebrand and C. Miehe, “A phase field model for the formation and evolution of martensitic laminate microstructure at finite strains,” Philosophical Magazine, vol. 92, pp. 4250–4290, 2012, doi: 10.1080/14786435.2012.705039.

T. Heidlauf and O. Röhrle, “A geometrical model of skeletal muscle,” PAMM, vol. 1, pp. 119–120, 2012, doi: 10.1002/pamm.201210050.

J. Hasenauer, D. Schittler, and F. Allgöwer, “Analysis and simulation of division- and label-structured population models,” Bulletin of Mathematical Biology, vol. 74, Art. no. 11, 2012, doi: 10.1007/s11538-012-9774-5.

J. Hasenauer, M. Löhning, M. Khammash, and F. Allgöwer, “Dynamical optimization using reduced order models: A method to guarantee performance,” Journal of Process Control, vol. 22, Art. no. 8, 2012, doi: 10.1016/j.jprocont.2012.01.017.

J. Hasenauer, J. Heinrich, M. Doszczak, P. Scheurich, D. Weiskopf, and F. Allgöwer, “A visual analytics approach for models of heterogeneous cell populations,” EURASIP Journal on Bioinformatics and Systems Biology, vol. 2012, Art. no. 4, 2012, doi: 10.1186/1687-4153-2012-4.

H. Harbrecht, W. L. Wendland, and N. Zorii, “On Riesz minimal energy problems,” Journal of Mathematical Analysis and Applications, vol. 393, pp. 397–412, 2012, doi: 10.1016/j.jmaa.2012.04.019.

H. Harbrecht, M. Peters, and R. Schneider, “On the low-rank approximation by the pivoted Cholesky decomposition,” Applied Numerical Mathematics, vol. 62, pp. 428–440, 2012, doi: 10.1016/j.apnum.2011.10.001.

B. Haasdonk, J. Salomon, and B. Wohlmuth, “A Reduced Basis Method for the Simulation of American Options,” Numerical Mathematics and Advanced Applications 2011, pp. 821–829, 2012, doi: 10.1007/978-3-642-33134-3_85.

M. Günther, O. Röhrle, D. Häufle, and S. Schmitt, “Spreading out muscle mass within a hill-type model: a computer simulation study,” Computational and mathematical methods in medicine, 2012, doi: 10.1155/2012/848630.

C. C. Gruber and J. Pleiss, “Molecular Modeling of Lipase Binding to a Substrate-Water Interface,” Lipases and Phospholipases, vol. 861, pp. 313–327, 2012, doi: 10.1007/978-1-61779-600-5_19.

S. Frey, F. Sadlo, and T. Ertl, “Visualization of Temporal Similarity in Field Data,” Transactions on Visualization and Computer Graphics, vol. 18, pp. 2023–2032, 2012, doi: 10.1109/TVCG.2012.284.

S. Frey, G. Reina, and T. Ertl, “SIMT Microscheduling: Reducing Thread Stalling in Divergent Iterative Algorithms,” Parallel, Distributed and Network-Based Processing (PDP), 2012 20th Euromicro International Conference on, pp. 399–406, 2012, doi: 10.1109/PDP.2012.62.

J. Fehr, M. Fischer, B. Haasdonk, and P. Eberhard, “Greedy-based approximation of frequency-weighted Gramian matrices for model reduction in multibody dynamics,” ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, vol. 93, pp. 501–519, 2012, doi: 10.1002/zamm.201200014.

C. Fehling, T. Ewald, F. Leymann, M. Pauly, J. Rütschlin, and D. Schumm, “Capturing Cloud Computing Knowledge and Experience in Patterns,” Proceedings of the 2012 IEEE International Conference on Cloud Computing (CLOUD 2012), 2012, doi: 10.1109/CLOUD.2012.124.

C. Ergenzinger, R. Seifried, and P. Eberhard, “A Discrete Element Approach to Model Breakable Railway Ballast,” Journal of Computational and Nonlinear Dynamics, vol. 7, Art. no. 4, 2012, doi: 10.1115/1.4006731.

C. Ergenzinger, R. Seifried, and P. Eberhard, “A discrete element model predicting the strength of ballast stones,” Computers & Structures, vol. 108-109, pp. 3–13, 2012, doi: 10.1016/j.compstruc.2012.02.006.

K. Erbertseder, J. Reichold, B. Flemisch, P. Jenny, and R. Helmig, “A Coupled Discrete / Continuum Model for Describing Cancer-Therapeutic Transport in the Lung,” PLoS ONE, 2012, doi: 10.1371/journal.pone.0031966.

R. Enzenhöfer, W. Nowak, and R. Helmig, “Probabilistic Exposure Risk Assessment with Advective-Dispersive Well Vulnerability Criteria,” Advances in Water Resources, vol. 36, pp. 121–132, 2012, doi: 10.1016/j.advwatres.2011.04.018.

P. Engel and C. Rohde, “On the Space-Time Expansion Discontinuous Galerkin Method,” Series in Contemporary Applied Mathematics, vol. 0, 2012, doi: 10.1142/9789814417099_0038.

P. Eberhard and Q. Tang, “Sensor Data Fusion for the Localization and Position Control of One Kind of Omnidirectional Mobile Robots,” Multibody System Dynamics, Robotics and Control, pp. 45–73, 2012, doi: 10.1007/978-3-7091-1289-2_4.

M. Drohmann, B. Haasdonk, and M. Ohlberger, “Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation,” SIAM-SISC, vol. 34, pp. A937–A969, 2012, doi: 10.1137/10081157x.

M. Drohmann, B. Haasdonk, and S. Kaulmann, “A Software Framework for Reduced Basis Methods Using Dune-RB and RBmatlab,” Advances in DUNE, pp. 77–88, 2012, doi: 10.1007/978-3-642-28589-9_6.

W. Dreyer, J. Giesselmann, C. Kraus, and C. Rohde, “Asymptotic analysis for Korteweg models,” Interfaces and Free Boundaries, vol. 14, pp. 105–143, 2012, doi: 10.4171/IFB/275.

M. Dihlmann, S. Kaulmann, and B. Haasdonk, “Online Reduced Basis Construction Procedure for Model Reduction of Parametrized Evolution Systems,” Proceedings of Mathmod 2012, 2012, doi: 10.3182/20120215-3-at-3016.00020.

M. Deininger, J. Jung, R. Skoda, P. Helluy, and C.-D. Munz, “Evaluation of interface models for 3D-1D coupling of compressible Euler methods for the application on cavitating ows,” ESAIM: Proceedings, vol. 38, pp. 298–318, 2012, doi: 10.1051/proc/201238016.

A. Dadalau and A. Verl, “Modeling linear guide systems with CoFEM - Experimental validation,” Production Engineering Research and Development, 2012, doi: 10.1007/s11740-012-0377-7.

A. Corli and C. Rohde, “Singular limits for a parabolic-elliptic regularization of scalar conservation laws,” Journal of Differential Equations, vol. 253, 2012, doi: 10.1016/j.jde.2012.05.006.

O. A. Cirpka, M. Rolle, G. Chiogna, F. P. J. de Barros, and W. Nowak, “Stochastic Evaluation of Mixing-Controlled Steady-State Plume Lengths in Two-Dimensional Heterogeneous Domains,” Journal of Contaminant Hydrology, vol. 138-139, pp. 22–39, 2012, doi: 10.1016/j.jconhyd.2012.05.007.

C. Chalons, F. Coquel, P. Engel, and C. Rohde, “Fast Relaxation Solvers for Hyperbolic-Elliptic Phase Transition Problems,” SIAM Journal on Scientific Computing, vol. 34, pp. A1753 – A1776, 2012, doi: 10.1137/110848815.

M. Bürger, G. Notarstefano, F. Allgöwer, and F. Bullo, “A Distributed Simplex Algorithm for Degenerate Linear Programs and Multi-Agent Assignments,” Automatica, vol. 48, pp. 2298–2304, 2012, doi: 10.1016/j.automatica.2012.06.040.

C. Böhm, M. Lazar, and F. Allgöwer, “Stability of periodically time-varying systems: Periodic Lyapunov functions,” Automatica, vol. 48, Art. no. 10, 2012, doi: 10.1016/j.automatica.2012.06.070.

C. Breindl, M. Chaves, J. Gouze, and F. Allgöwer, “Structure estimation for unate Boolean models of gene regulation networks,” Proceedings of the 16th IFAC Symposium on System Identification, pp. 1725–1730, 2012, doi: 10.3182/20120711-3-BE-2027.00278.

S. Brdar, M. Baldauf, A. Dedner, and R. Klöfkorn, “Comparison of dynamical cores for NWP models - Comparison of COSMO and DUNE,” Theoretical and Computational Fluid Dynamics, 2012, doi: 10.1007/s00162-012-0264-z.

C. Braun, S. Holst, J. M. Castillo, J. Gross, and H.-J. Wunderlich, “Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures,” Proceedings of the IEEE International Conference on Computer Design (ICCD12), 2012, doi: 10.1109/ICCD.2012.6378642.

C. Braun, M. Daub, A. Schoell, G. Schneider, and H.-J. Wunderlich, “Parallel Simulation of Apoptotic Receptor-Clustering on GPGPU Many-Core Architectures,” Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM′12), 2012, doi: 10.1109/BIBM.2012.6392661.

T. Brandes, A. Arnold, T. Soddemann, and D. Reith, “CPU vs. GPU-Performance comparison for the Gram-Schmidt algorithm,” The European Physical Journal Special Topics, vol. 210, Art. no. 1, 2012, doi: 10.1140/epjst/e2012-01638-7.

T. Binz, F. Leymann, A. Nowak, and D. Schumm, “Improving the Manageability of Enterprise Topologies Through Segmentation, Graph Transformation, and Analysis Strategies,” Proceedings of Enterprise Distributed Object Computing Conference (EDOC 2012), 2012, doi: 10.1109/EDOC.2012.17.

T. Binz, C. Fehling, F. Leymann, A. Nowak, and D. Schumm, “Formalizing the Cloud through Enterprise Topology Graphs,” Proceedings of International Conference on Cloud Computing, 2012, doi: 10.1109/CLOUD.2012.143.

H. M. N. K. Balini, J. Witte, and C. W. Scherer, “Synthesis and implementation of gain-scheduling and LPV controllers for an AMB system,” Automatica, 2012, doi: 10.1016/j.automatica.2011.08.061.

P. Baier, F. Dürr, and K. Rothermel, “PSense: Reducing Energy Consumption in Public Sensing Systems,” Proceedings of the 26th IEEE International Conference on Advanced Information Networking and Applications, 2012, doi: 10.1109/AINA.2012.33.

P. Baier, F. Dürr, and K. Rothermel, “TOMP: Opportunistic Traffic Offloading Using Movement Predictions,” Proceedings of the 37th IEEE Conference on Local Computer Networks (LCN), 2012, doi: 10.1109/LCN.2012.6423668.

S. Bachthaler, F. Sadlo, R. Weeber, S. Kantorovich, C. Holm, and D. Weiskopf, “Magnetic Flux Topology of 2D Point Dipoles,” Computer Graphics Forum, vol. 31, p. 955, 2012, doi: 10.1111/j.1467-8659.2012.03088.x.

K. Baber, K. Mosthaf, B. Flemisch, R. Helmig, S. Müthing, and B. Wohlmuth, “Numerical scheme for coupling two-phase compositional porous-media flow and one-phase compositional free flow,” IMA Journal of Applied Mathematics, vol. 77, Art. no. 6, 2012, doi: 10.1093/imamat/hxs048.

F. Albrecht, B. Haasdonk, S. Kaulmann, and M. Ohlberger, “The Localized Reduced Basis Multiscale Method,” Algoritmy 2012 - Proceedings of contributed papers and posters, vol. 1, pp. 393–403, 2012, [Online]. Available: http://www.iam.fmph.uniba.sk/algoritmy2012/zbornik/40Albrecht.pdf

J. Veenman and C. W. Scherer, “Robust Gain-Scheduled Estimation: A Convex Solution,” in 50th IEEE Conf. Decision and Control, Orlando, FL, USA, 2011, pp. 1347–1352. [Online]. Available: https://doi.org/10.1109/CDC.2011.6160420

J. Veenman and C. W. Scherer, “IQC-Synthesis with General Dynamic Multipliers,” in 18th IFAC World Congress, Milano, Italy, 2011, pp. 4600–4605. [Online]. Available: https://doi.org/10.3182/20110828-6-IT-1002.00776

C. W. Scherer and I. E. Köse, “On Convergence of Transfer Matrices and their Realizations,” in 18th IFAC World Congress, Milano, Italy, 2011, pp. 3348–3353. [Online]. Available: https://doi.org/10.3182/20110828-6-IT-1002.03449

C. W. J. Hol et al., “Optimal Feedforward Filter Design for Flying Gauge Changes of a Continuous Cold Mill,” in 18th IFAC World Congress, Milano, Italy, 2011, pp. 8545–8551. [Online]. Available: https://doi.org/10.3182/20110828-6-IT-1002.00393

J. Veenman and C. W. Scherer, On Robust LPV Controller Synthesis: A Dynamic Integral Quadratic Constraint based Approach, vol. 0. 49th IEEE Conf. Decision and Control, 2011. doi: 10.1109/CDC.2010.5717992.

M. Sonntag and D. Karastoyanova, Compensation of Adapted Service Orchestration Logic in BPEL`n`Aspects, vol. 0. Springer-Verlag, 2011. doi: 10.1007/978-3-642-23059-2_30.

M. Sonntag, S. Hotta, D. Karastoyanova, D. Molnar, and S. Schmauder, Workflow-Based Distributed Environment For Legacy Simulation Applications, vol. 0. SciTePress Digital Library, 2011. doi: 10.5220/0003444400910094.

D. Schumm, G. Latuske, F. Leymann, R. Mietzner, and T. Scheibler, State Propagation for Business Process Monitoring on Different Levels of Abstraction, vol. 0. AIS Electronic Library, 2011. [Online]. Available: http://aisel.aisnet.org/ecis2011/18/

C. W. Scherer and I. E. Köse, On Convergence of Transfer Matrices and Their Realizations, vol. 18. IFAC, 2011. doi: 10.3182/20110828-6-IT-1002.03449.

U. Pompe, Perception and Cognition - The Analysis of Object Recognition, vol. 0. Mentis Verlag, 2011. [Online]. Available: http://mentis.de/index.php?id=00000034&article_id=00000028&category=&book_id=00000668&key=pompe

D. Mueller-Hoeppe, S. Loehnert, and S. Reese, Recent Developments and Innovative Applications in Computational Mechanics. Springer, 2011. doi: 10.1007/978-3-642-17484-1.

C. W. J. Hol, S. Sujoto, and M. de Boer, Optimal Feedforward Filter Design for Flying Gauge Changes of a Continuous Cold Mill, vol. 18. 18th IFAC World Congress, 2011. doi: 10.3182/20110828-6-IT-1002.00393.

S. Hoher, P. Schindler, S. Göttlich, V. Schleper, and S. Röck, System Dynamic Models and Real-time Simulation of Complex Material Flow Systems, vol. 0. Springer, 2011. doi: 10.1007/978-3-642-23860-4_52.

S. Zinatbakhsh, B. Markert, and W. Ehlers, “On the Stability Analysis of Decoupled Solution Schemes,” Proceedings in Applied Mathematics and Mechanics, vol. 11, pp. 497–498, 2011, doi: 10.1002/pamm.201110240.

S. Yu, M. Reble, H. Chen, and F. Allgöwer, “Inherent Robustness Properties of Quasi-infinite Horizon MPC,” Proc. 18th IFAC World Congress, pp. 179–184, 2011, doi: 10.3182/20110828-6-IT-1002.01969.

C. Winkel, S. Neumann, C. Surulescu, and P. Scheurich, “A minimal mathematical model for the initial molecular interactions of death receptor signalling,” Mathematical Biosciences and Engineering, vol. 0, 2011, doi: 10.3934/mbe.2012.9.663.

P. Wieland, R. Sepulchre, and F. Allgöwer, “An internal model principle is necessary and sufficient for linear output synchronization,” Automatica, vol. 47, Art. no. 5, 2011, doi: 10.1016/j.automatica.2011.01.081.

H.-J. Werner and M. Schütz, “An efficienient local coupled cluster method for accurate thermochemistry of large systems,” J. Chem. Phys., vol. 135, p. 144116, 2011, doi: 10.1063/1.3641642.

H.-J. Werner, P. J. Knowles, G. Knizia, F. R. Manby, and M. Schütz, “Molpro: a general-purpose quantum chemistry program package,” Comput. Mol. Sci., vol. 0, 2011, doi: 10.1002/wcms.82.

H.-J. Werner, G. Knizia, and F. R. Manby, “Explicitly correlated coupled cluster methods with pair-specific geminals,” Mol. Phys., vol. 109, p. 407, 2011, doi: 10.1080/00268976.2010.526641.

N. Wengert and P. Eberhard, “Optimization of the Dynamical Behavior of High-Performance Lens Systems to Reduce Dynamic Aberrations,” Archive of Mechanical Engineering, vol. 58, pp. 407–423, 2011, doi: 10.2478/v10180-011-0025-3.

K. Wendler, F. Dommert, Y. Y. Zhao, R. Berger, C. Holm, and L. Delle Site, “Ionic liquids studied across different scales: A computational perspective,” Faraday Discussions, vol. 0, 2011, doi: 10.1039/C1FD00051A.

H. Weinschrott, J. Weisser, F. Dürr, and K. Rothermel, “Participatory sensing algorithms for mobile object discovery in urban areas,” IEEE International Conference on Pervasive Computing and Communications (PerCom), vol. 0, 2011, doi: 10.1109/PERCOM.2011.5767577.

W. Weimer-Jehle, S. Wassermann, and H. Kosow, “Konsistente Rahmendaten für Modellierungen und Szenariobildung im UBA,” UBA Texte, vol. 20, 2011, [Online]. Available: http://www.uba.de/uba-info-medien/4096.html

W. Weimer-Jehle and H. Kosow, “Gesellschaftliche Kontextszenarien als Ausgangspunkt für modellgestützte Energieszenarien,” C. Diekhoff et al. (Hrsg.): Energieszenarien. Konstruktion, Bewertung und Wirkung, vol. 0, pp. 53–65, 2011, [Online]. Available: https://books.google.de/books?hl=de&lr=&id=RO51I5tPHHcC&oi=fnd&pg=PA53&dq=Gesellschaftliche+Kontextszenarien+als+Ausgangspunkt+f%C3%BCr+modellgest%C3%BCtzte+Energieszenarien&ots=PRppo0EehE&sig=a8Lj31zio8vl8hfd-1JVzpnlMAA

M. Weidmann, F. Koetter, T. Renner, D. Schumm, F. Leymann, and D. Schleicher, “Synchronization of Adaptive Process Models Using Levels of Abstraction,” Proceedings of the 4th International Workshop on Evolutionary Business Processes (EVL-BP 2011), 2011, doi: 10.1109/EDOCW.2011.24.

M. Weidmann, M. Alvi, F. Koetter, F. Leymann, T. Renner, and D. Schumm, “Business Process Change Management based on Process Model Synchronization of Multiple Abstraction Levels,” Proceedings of SOCA, 2011, doi: 10.1109/SOCA.2011.6166253.

P. Weber, J. Hasenauer, F. Allgöwer, and N. Radde, “Parameter estimation and identifiability of biological networks using relative data,” Proceedings IFAC 2011, vol. 0, 2011, doi: 10.3182/20110828-6-IT-1002.01007.

S. Wassermann, D. Scheer, and M. Schulz, “Linking public acceptance with expert knowledge on CO2 storage: Outcomes of a delphi approach,” Energy Procedia, vol. 4, pp. 6353–6359, 2011, doi: 10.1016/j.egypro.2011.02.652.

L. Walter, S. Oladyshkin, H. Class, M. Darcis, and R. Helmig, “A study on pressure evolution in a channel system during CO2 injection,” Energy Procedia, vol. 4, pp. 3722–3729, 2011, doi: 10.1016/j.egypro.2011.02.305.

S. Waldherr, D. Dylus, and F. Allgöwer, “Bifurcation search via feedback loop breaking in biochemical signaling pathways with time delay,” Asian Journal of Control, vol. 13, pp. 691–700, 2011, doi: 10.1002/asjc.383.

S. Waldherr and F. Allgöwer, “Robust stability and instability of biochemical networks with parametric uncertainty,” Automatica, vol. 47, Art. no. 6, 2011, doi: 10.1016/j.automatica.2011.01.012.

A. Wagner and W. Ehlers, “Computational modelling of drug infusion into the anisotropic white-matter tracts of the human brain,” Proceedings in Applied Mathematics and Mechanics, vol. 11, pp. 133–134, 2011, doi: 10.1002/pamm.201110058.

C. Vehlow, J. Heinrich, F. Battke, D. Weiskopf, and K. Nieselt, “iHAT: the interactive Hierarchical Aggregation Table,” Proceedings of the IEEE Symposium on Biological Data Visualization, vol. 0, pp. 63–69, 2011, doi: 10.1109/BioVis.2011.6094049.

M. A. Tariq, B. Koldehofe, G. G. Koch, I. Khan, and K. Rothermel, “Meeting subscriber-defined QoS constraints in publish/subscribe systems,” Concurrency and Computation: Practice and Experience, vol. 0, 2011, doi: 10.1002/cpe.1751.

Q. Tang and P. Eberhard, “Cooperative Motion of Swarm Mobile Robots Based on Particle Swarm Optimization and Multibody System Dynamics,” Mechanics Based Design of Structures and Machines, vol. 39, Art. no. 2, 2011, doi: 10.1080/15397734.2011.550855.

Q. Tang and P. Eberhard, “A PSO-based Algorithm Designed for a Swarm of Mobile Robots,” Structural and Multidisciplinary Optimization, vol. 0, 2011, doi: 10.1007/s00158-010-0618-3.

F. Tabatabaei, O. Lenz, and C. Holm, “Simulational study of anomalous tracer diffusion in hydrogels,” Colloid and Polymer Science, vol. 289 (5-6), pp. 523–534, 2011, doi: 10.1007/s00396-011-2393-0.

A. Szymkiewicz, R. Helmig, and I. Neuweiler, “Upscaling unsaturated flow in binary porous media with air entry pressure effects,” Water Resources Research, vol. 0, 2011, doi: 10.1029/2011WR010893.

A. Szymkiewicz, R. Helmig, and H. Kuhnke, “Two phase flow in heterogeneous porous media with non-wetting phase trapping,” Transport in Porous Media, vol. 86, Art. no. 1, 2011, doi: 10.1007/s11242-010-9604-x.

A. Szymkiewicz and R. Helmig, “Comparison of conductivity averaging methods for one-dimensional unsaturated flow in layered soils,” Advances in Water Resources, vol. 34, Art. no. 8, 2011, doi: 10.1016/j.advwatres.2011.05.011.

C. Surulescu and N. Surulescu, “Modeling and simulation of bacterial motion via a nonparametric method,” Mathematical Biosciences and Engineering, vol. 8, Art. no. 2, 2011, doi: 10.3934/mbe.2011.8.263.

T. Stindl et al., “Comparison of Coupling Techniques in a High-Order Discontinuous Galerkin based Particle in Cell Solver,” Journal of Physics D: Applied Physics, vol. 44, Art. no. 19, 2011, doi: 10.1088/0022-3727/44/19/194004.

R. Steuer, S. Waldherr, V. Sourjik, and M. Kollmann, “Robust Signal Processing in Living Cells,” PLoS Computational Biology, vol. 7, p. e1002218, 2011, doi: 10.1371/journal.pcbi.1002218.

I. Steinwart, D. Hush, and C. Scovel, “Training SVMs without offset,” Journal of Machine Learning Research, vol. 12, pp. 141–202, 2011, [Online]. Available: http://www.jmlr.org/papers/volume12/steinwart11a/steinwart11a.pdf

M. Sprenger, N. Karajan, S. Schmitt, and O. Röhrle, “On the Coupling of 3D-1D Muscle Models for Lumbar Spine Mechanics,” PAMM, vol. 11, pp. 125–126, 2011, doi: 10.1002/pamm.201110054.

M. Sonntag and D. Karastoyanova, “Concurrent Workflow Evolution,” Electronic Communications of the EASST, vol. 37, p. 12, 2011, [Online]. Available: http://journal.ub.tu-berlin.de/eceasst/article/view/485

M. Sonntag, S. Hotta, D. Karastoyanova, D. Molnar, and S. Schmauder, “Using Services and Service Compositions to Enable the Distributed Execution of Legacy Simulation Applications,” Lecture Notes in Computer Science, vol. 6994, pp. 242–253, 2011, doi: 10.1007/978-3-642-24755-2_23.

M. Sonntag, K. Görlach, D. Karastoyanova, F. Leymann, P. Malets, and D. Schumm, “Views on Scientific Workflows,” Lecture Notes in Business Information Processing, vol. 90, pp. 321–335, 2011, doi: 10.1007/978-3-642-24511-4_25.

A. Shirazi, M. Rohs, R. Schleicher, S. Kratz, and A. Schmidt, “Real-time nonverbal opinion sharing through mobile phones during sports events,” Proceedings of the 2011 annual conference on Human factors in computing systems, vol. 0, pp. 307–310, 2011, doi: 10.1145/1978942.1978985.

T. Shiozaki and H.-J. Werner, “Explicitly correlated multireference configuration interaction with multiple reference functions: Avoided crossings and conical intersections,” J. Chem. Phys., vol. 134, p. 184104, 2011, doi: 10.1063/1.3587632.

T. Shiozaki, G. Knizia, and H.-J. Werner, “Explicitly correlated multireference configuration interaction: MRCI-F12,” Journal of Chemical Physics, vol. 134, Art. no. 3, 2011, doi: 10.1063/1.3528720.

T. Shiozaki, W. Gyorffy, P. Celani, and H.-J. Werner, “Communication: Extended multi-state complete active space second-order perturbation theory: Energy and nuclear gradients,” J. Chem. Phys., vol. 135, p. 81106, 2011, doi: 10.1063/1.3633329.

K. R. Shamasundar, G. Knizia, and H.-J. Werner, “A new internally contracted multi-reference configuration interaction (MRCI) method,” Journal of Chemical Physics, vol. 135, Art. no. 5, 2011, doi: 10.1063/1.3609809.

P. Sekler, M. Voß, and A. Verl, “Model-based calculation of the system behavior of machine structures on the control device for vibration avoidance,” The International Journal of Advanced Manufacturing Technology, vol. 0, 2011, doi: 10.1007/s00170-011-3450-z.

R. Seifried, T. Gorius, and P. Eberhard, “Control Design for the Interactive 3D-Pendulum Presented at the World Exhibition EXPO 2010,” Journal of System Design and Dynamics, vol. 5, pp. 937–952, 2011, doi: 10.1299/jsdd.5.937.

R. Seifried, “Integrated Mechanical and Control Design of Underactuated Multibody Systems,” Nonlinear Dynamics, 2011, doi: 10.1007/s11071-011-0087-2.

R. Seifried, “Two Approaches for Feedforward Control and Optimal Design of Underactuated Multibody Systems,” Multibody System Dynamics, 2011, doi: 10.1007/s11044-011-9261-z.

J. Seifert, B. Pfleging, E. d. C Valderrama Bahamóndez, M. Hermes, E. Rukzio, and A. Schmidt, “MobiDev: A Tool for Creating Apps on Mobile Phones,” Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 109–112, 2011, doi: 10.1145/2037373.2037392.

M. A. Schweitzer, “Multilevel particle-partition of unity method,” Numerische Mathematik, vol. 118, Art. no. 2, 2011, doi: 10.1007/s00211-010-0346-z.

M. A. Schweitzer, “Stable enrichment and local preconditioning in the particle-partition of unity method,” Numerische Mathematik, vol. 118, Art. no. 1, 2011, doi: 10.1007/s00211-010-0323-6.

M. Schweitzer, “Generalizations of the Finite Element Method,” Central European Journal of Mathematics, vol. 0, 2011, [Online]. Available: http://link.springer.com/article/10.2478/s11533-011-0112-1

D. Schumm, D. Karastoyanova, O. Kopp, F. Leymann, M. Sonntag, and S. Strauch, “Process Fragment Libraries for Easier and Faster Development of Process-based Applications,” SI-Journal, vol. 2, Art. no. 1, 2011, [Online]. Available: http://www.si-journal.org/index.php/JSI/article/view/83

D. Schumm, J. Cai, C. Fehling, D. Karastoyanova, F. Leymann, and M. Weidmann, “Composite Process View Transformation,” Proceedings of the 12th International Conference on Electronic Commerce and Web Technologies, 2011, doi: 10.1007/978-3-642-23014-1_5.

G. Schneider and C. E. Wayne, “Justification of the NLS approximation for a quasilinear water wave model,” Journal of Differential Equations, vol. 251, Art. no. 2, 2011, doi: 10.1016/j.jde.2011.04.011.

B. Schneider, G. A. D Addetta, and E. Ramm, “On Material Modeling by Polygonal Discrete Elements,” Particle-Based Methods, vol. 25, pp. 159–185, 2011, doi: 10.1007/978-94-007-0735-1_6.

S. Schneegass, B. Pfleging, D. Kern, and A. Schmidt, “Support for Modeling Interaction with Automotive User Interfaces,” Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2011, doi: 10.1145/2381416.2381428.

G. S. Schmidt, C. Ebenbauer, and F. Allgöwer, “Observability properties of the periodic Toda lattice,” control and Automation, pp. 704–709, 2011, doi: 10.1109/ICCA.2011.6138011.

A. Schmidt, M. Langheinrich, and K. Kersting, “Perception beyond the Here and Now,” Computer, vol. 44, Art. no. 2, 2011, doi: 10.1109/MC.2011.54.

S. Schmauder, U. Weber, A. Reuschel, and M. Willert, “Simulation of the Mechanical Behaviour of Metal Matrix Composites,” Materials Science Forum, vol. 678, pp. 49–60, 2011, doi: 10.4028/www.scientific.net/MSF.678.49.

S. Schmauder and C. Kohler, “Atomistic simulations of solid solution strengthening of α-Iron,” Computational Materials Science, vol. 50, Art. no. 4, 2011, doi: 10.1016/j.commatsci.2010.04.041.

D. Schleicher et al., “Compliance Domains: A Means to Model Data-Restrictions in Cloud Environments,” Enterprise Distributed Object Computing Conference (EDOC 2011), 2011, doi: 10.1109/EDOC.2011.22.

D. Schittler, J. Hasenauer, and F. Allgöwer, “A generalized population model for cell proliferation: Integrating division numbers and label dynamics,” Proc. of the 8th Workshop on Comp. Syst. Biol., vol. 0, pp. 165–168, 2011, [Online]. Available: http://www.wcsb2011.ethz.ch/proc_wcsb2011.pdf#page=176

O. Schiller, B. Schiller, A. Brodt, and B. Mitschang, “Native support of multi-tenancy in RDBMS for software as a service,” Proceedings of the 14th International Conference on Extending Database Technology, vol. 0, pp. 117–128, 2011, doi: 10.1145/1951365.1951382.

M. Schenke and W. Ehlers, “On the Analysis of Soils using an Abaqus-PANDAS Interface,” Proceedings in Applied Mathematics and Mechanics, vol. 11, pp. 431–432, 2011, doi: 10.1002/pamm.201110207.

D. Scheer, “Computer simulation at the science-policy interface: Assessing the policy relevance of Carbon Capture & Storage simulations,” Energy Procedia, vol. 4, pp. 5770–5777, 2011, doi: 10.1016/j.egypro.2011.02.573.

P. Schau, K. Frenner, L. Fu, H. Schweizer, H. Giessen, and W. Osten, “Rigorous modeling of meander-type metamaterials for sublambda imaging,” Proc. SPIE, vol. 8083, 2011, doi: 10.1117/12.889451.

P. Schau, K. Frenner, L. Fu, H. Schweizer, H. Giessen, and W. Osten, “Design of high-transmission metallic meander stacks with different grating periodicities for subwavelength-imaging applications,” Optics Express, vol. 19, Art. no. 4, 2011, doi: 10.1364/OE.19.003627.

C. Schacht, T. Vlugt, and J. Gross, “Using an analytic equation of state quantitative solubilities of CO2 by molecular simulation,” Journal of Physical Chemistry, vol. 2, Art. no. 5, 2011, doi: 10.1021/jz101688h.

P. A. Sanchez, J. J. Cerda, V. Ballenegger, T. Sintes, O. Piro, and C. Holm, “Semiflexible magnetic filaments near attractive flat surfaces: a Langevin dynamics study,” Soft Matter, vol. 7, Art. no. 5, 2011, doi: 10.1039/c0sm00772b.

F. Sadlo et al., “Visualization of Cell-Based Higher-Order Fields,” Computing in Science and Engineering, vol. 13, Art. no. 3, 2011, doi: 10.1109/MCSE.2011.53.

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O. Röhrle, H. Köstler, and M. Loch, “Segmentation of skeletal muscle fibres for applications in computational skeletal muscle mechanics,” Computational Biomechanics for Medicine, vol. 0, pp. 107–117, 2011, doi: 10.1007/978-1-4419-9619-0_12.

T. K. Rupp and S. Schmitt, “Inverse dynamics of the lower extremities: novel approach considering talocrural and subtalar joint axis,” Journal of Mechanics in Medicine and Biology, vol. 11, pp. 515–527, 2011, doi: 10.1142/S0219519411004009.

J. B. Rommel and J. Kästner, “Adaptive Integration Grids in Instanton Theory Improve the Numerical Accuracy at Low Temperature,” J. Chem. Phys, vol. 134, Art. no. 18, 2011, doi: 10.1063/1.3587240.

J. B. Rommel and J. Kästner, “The Fragmentation?Recombination Mechanism of the Enzyme Glutamate Mutase Studied by QM/MM Simulations,” Journal of the American Chemical Society, vol. 133, Art. no. 26, 2011, doi: 10.1021/ja202312d.

J. B. Rommel, T. P. M. Goumans, and J. Kästner, “Locating instantons in many degrees of freedom,” J. Chem. Theory Comput., vol. 7, Art. no. 3, 2011, doi: 10.1021/ct100658y.

V.-M. Rodriguez-Betancourtt, V.-M. Quezada-Navarro, M. Neff, and G. Rauhut, “Anharmonic frequencies of F,C,N,X isomers (X=O,S) obtained from explicitly correlated coupled-cluster calculations,” Chemical Physics, vol. 387 (1-3), pp. 1–4, 2011, doi: 10.1016/j.chemphys.2011.06.015.

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O. Renn, A. Klinke, and M. van Asselt, “Coping with complexity, uncertainty and ambiguity in risk governance: A synthesis,” AMBIO: A JOURNAL OF THE HUMAN ENVIRONMENT, vol. 40, Art. no. 2, 2011, doi: 10.1007/s13280-010-0134-0.

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H.-U. Rempler, C. Wieners, and W. Ehlers, “Efficiency Comparison of an Augmented Finite Element Formulation with Standard Return Mapping Algorithms for Elastic-inelastic Materials,” Computational Mechanics, vol. 0, 2011, doi: 10.1007/s00466-011-0602-9.

M. Reiter, U. Breitenbuecher, S. Dustdar, D. Karastoyanova, F. Leymann, and H.-L. Truong, “A Novel Framework for Monitoring and Analyzing Quality of Data in Simulation Workflows,” Proceedings of the 7th IEEE International Conference on e-Science, pp. 105–112, 2011, doi: 10.1109/eScience.2011.23.

T. Reiner, G. Mückl, and C. Dachsbacher, “Interactive Modeling of Implicit Surfaces using a Direct Visualization Approach with Signed Distance Functions,” Computers & Graphics, vol. 35, Art. no. 3, 2011, doi: 10.1016/j.cag.2011.03.010.

P. Reimann, H. Schwarz, and B. Mitschang, “Design, Implementation, and Evaluation of a Tight Integration of Database and Workflow Engines,” Journal of Information and Data Management, vol. 2, Art. no. 3, 2011, [Online]. Available: http://seer.lcc.ufmg.br/index.php/jidm/article/viewFile/150/91

P. Reimann, M. Reiter, H. Schwarz, D. Karastoyanova, and F. Leymann, “SIMPL - A Framework for Accessing External Data in Simulation Workflows,” 14. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), vol. 0, 2011, [Online]. Available: http://www.gi.de/service/publikationen/lni/gi-edition-proceedings-2011/gi-edition-lecture-notes-in-informatics-lni-p-180.html

M. Reble, D. E. Quevedo, and F. Allgöwer, “Stochastic Stability and Performance Estimates of Packetized Unconstrained Model Predictive Control for Networked Control Systems,” 9th IEEE International Conference on Control & Automation, pp. 171–176, 2011, doi: 10.1109/ICCA.2011.6137929.

M. Reble, F. D. Brunner, and F. Allgöwer, “Model Predictive Control for Nonlinear Time-Delay Systems without Terminal Constraint,” Proc. 18th IFAC World Congress, pp. 9254–9259, 2011, doi: 10.3182/20110828-6-IT-1002.00607.

M. Reble and F. Allgöwer, “Design of Terminal Cost Functionals and Terminal Regions for Model Predictive Control of Nonlinear Time-Delay Systems,” R. Sipahi, T. Vyhlidal, P. Pepe, and S.-I. Niculescu, editors, Time Delay Systems - Methods, Applications, and New Trends, Lecture Notes in Control and Information Sciences, pp. 355–366, 2011, doi: 10.1007/978-3-642-25221-1_27.

M. Reble and F. Allgöwer, “Unconstrained Nonlinear Model Predictive Control and Suboptimality Estimates for Continuous-Time Systems,” Proc. 18th IFAC World Congress, pp. 6733–6738, 2011, doi: 10.3182/20110828-6-IT-1002.00609.

M. Radetzki and A. Kohler, “Cost-Based Deflection Routing for Intelligent NoC Switches,” Lecture Notes in Electrical Engineering, vol. 81, 2011, doi: 10.1007/978-94-007-0638-5_6.

N. Radde, “The role of feedback mechanisms in biological network models - A tutorial,” Asian Journal of Control, vol. 13, Art. no. 5, 2011, doi: 10.1002/asjc.376.

B. Qiao, M. Sega, and C. Holm, “An atomistic study of a poly(styrene sulfonate)/poly(diallyldimethylammonium) bilayer: the role of surface properties and charge reversal,” Phys. Chem. Chem. Phys., vol. 13, Art. no. 36, 2011, doi: 10.1039/C1CP21777A.

B. Qiao, J. J. Cerda, and C. Holm, “Atomistic Study of Surface Effects on Polyelectrolyte Adsorption: Case Study of a Poly(styrenesulfonate) Monolayer,” Macromolecules, vol. 44, Art. no. 6, 2011, doi: 10.1021/ma1026109.

E. Pyanzina, S. Kantorovich, J. J. Cerda, and C. Holm, “Structure factor of ferrofluids with chain aggregates: Theory and computer simulations,” Journal of Magnetism and Magnetic Materials, vol. 323, Art. no. 10, 2011, doi: 10.1016/j.jmmm.2010.11.018.

T. Prokopyeva, V. Danilov, A. Dobroserdova, S. Kantorovich, and C. Holm, “Ground state structures in ferrofluid monolayers,” Journal of Magnetism and Magnetic Materials, vol. 323, Art. no. 10, 2011, doi: 10.1016/j.jmmm.2010.11.034.

D. Philipp, F. Dürr, and K. Rothermel, “A Sensor Network Abstraction for Flexible Public Sensing Systems,” Proceedings of the 8th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems: MASS11, 2011, doi: 10.1109/MASS.2011.52.

B. Pfleging, A. Schmidt, T. Döring, and M. Knobel, “AutoNUI: a workshop on automotive natural user interfaces,” Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 207–209, 2011, doi: 10.1145/2381416.2381450.

B. Pfleging, M. Kienast, A. Schmidt, and T. Döring, “SpeeT: A Multimodal Interaction Style Combining Speech and Touch Interaction in Automotive Environments,” Adjunct Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2011, [Online]. Available: http://www.vis.uni-stuttgart.de/uploads/tx_vispublications/autoui11_pfleging_interactive_demo_v7_cameraReady.pdf

K. A. Peterson, C. Krause, H. Stoll, J. G. Hill, and H.-J. Werner, “Application of explicitly correlated coupled-cluster methods to molecules containing post-3d main group elements,” Mol. Phys., vol. 109, Art. no. 22, 2011, doi: 10.1080/00268976.2011.624129.

A. Panagiotidis, D. Kauker, S. Frey, and T. Ertl, “DIANA: A Device Abstraction Framework for Parallel Computations,” Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, 2011, doi: 10.4203/ccp.95.20.

S. Oladyshkin and M. Panfilov, “Hydrogen penetration in water through porous medium: application to a radioactive waste storage site,” Environmental Earth Sciences, vol. 64, Art. no. 4, 2011, doi: 10.1007/s12665-011-0916-0.

S. Oladyshkin, H. Class, R. Helmig, and W. Nowak, “An Integrative Approach to Robust Design and Probabilistic Risk Assessment for CO2 Storage in Geological Formations,” Computational Geosciences, vol. 15, Art. no. 3, 2011, doi: 10.1007/s10596-011-9224-8.

S. Oladyshkin, H. Class, R. Helmig, and W. Nowak, “A concept for data-driven uncertainty quantification and its application to carbon dioxide storage in geological formations,” Advances in Water Resources, vol. 34, pp. 1508–1518, 2011, doi: 10.1016/j.advwatres.2011.08.005.

J. Offtermatt and N. Radde, “Convergence of Posteriors for Structurally Non-Identifiable Problems Using Results from the Theory of Inverse Problems,” Journal of Inverse and Illposed Problems, 2011, doi: 10.1515/jip-2012-0057.

C. Nowakowski, J. Fehr, and P. Eberhard, “Einfluss von Schnittstellenmodellierungen bei der Reduktion elastischer Mehrkörpersysteme,” at - Automatisierungstechnik, vol. 59, pp. 512–519, 2011, doi: 10.1524/auto.2011.0929.

A. Nowak, F. Leymann, D. Schumm, and B. Wetzstein, “An Architecture and Methodology for a Four-Phased Approach to Green Business Process Reengineering,” Proceedings of the 1st International Conference on ICT as Key Technology for the Fight against Global Warming - ICT-GLOW 2011, 2011, doi: 10.1007/978-3-642-23447-7_14.

A. Nowak, F. Leymann, and D. Schumm, “The Differences and Commonalities between Green and Conventional Business Process Management,” Proceedings of the International Conference on Cloud and Green Computing, CGC 2011, 2011, doi: 10.1109/DASC.2011.105.

A. Nowak, F. Leymann, D. Schleicher, D. Schumm, and S. Wagner, “Green Business Process Patterns,” Proceedings of the 18th Conference on Pattern Languages of Programs, PLoP 2011, 2011, doi: 10.1145/2578903.2579144.

J. Niessner, S. Berg, and M. Hassanizadeh, “Comparison of Two-Phase Darcy”s Law with a Thermodynamically Consistent Approach,” Transport in Porous Media, vol. 88, pp. 133–148, 2011, doi: 10.1007/s11242-011-9730-0.

F. Niedermann, S. Radeschütz, and B. Mitschang, “Business Process Optimization using Formalized Optimization Patterns,” Proceedings of the 14th International Conference on Business Information Systems (BIS), 2011, doi: 10.1007/978-3-642-21863-7_11.

U. Münz, A. Papachristodoulou, and F. Allgöwer, “Robust consensus controller design for nonlinear relative degree two multi-agent systems with communication constraints,” IEEE Transactions on Automatic Control, vol. 56, Art. no. 1, 2011, doi: 10.1109/TAC.2010.2084150.