J. Zeman, C. Holm, and J. Smiatek, “The Effect of Small Organic Cosolutes on Water Structure and Dynamics,” Journal of Chemical & Engineering Data, vol. 65, no. 3, Art. no. 3, Aug. 2019, doi: 10.1021/acs.jced.9b00577.

X. Xu, J. Range, G. Gygli, and J. Pleiss, “Analysis of Thermophysical Properties of Deep Eutectic Solvents by Data Integration,” Journal of Chemical & Engineering Data, vol. 65, no. 3, Art. no. 3, Sep. 2019, doi: 10.1021/acs.jced.9b00555.

S. Xiao, S. Reuschen, G. Köse, S. Oladyshkin, and W. Nowak, “Estimation of small failure probabilities based on thermodynamic integration and parallel tempering,” Mechanical Systems and Signal Processing, vol. 133, p. 106248, Nov. 2019, doi: 10.1016/j.ymssp.2019.106248.

S. Xiao, S. Reuschen, G. Köse, S. Oladyshkin, and W. Nowak, “Estimation of small failure probabilities based on thermodynamic integration and parallel tempering,” Mechanical Systems and Signal Processing, vol. 133, p. 106248, 2019.

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.

R. Weeber, P. Kreissl, and C. Holm, “Studying the field-controlled change of shape and elasticity of magnetic gels using particle-based simulations,” Archive of Applied Mechanics, vol. 89, no. 1, Art. no. 1, Jan. 2019, doi: 10.1007/s00419-018-1396-4.

A. Tomalka, O. Röhrle, J.-C. Han, T. Pham, A. J. Taberner, and T. Siebert, “Extensive eccentric contractions in intact cardiac trabeculae: revealing compelling differences in contractile behaviour compared to skeletal muscles,” Proceedings of the Royal Society B, vol. 286, no. 1903, Art. no. 1903, 2019.

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.

A. Terzis et al., “Microscopic velocity field measurements inside a regular porous medium adjacent to a low Reynolds number channel flow,” Physics of Fluids, vol. 31, no. 4, Art. no. 4, Apr. 2019, doi: 10.1063/1.5092169.

H. Steeb and J. Renner, “Mechanics of Poro-Elastic Media: A Review with Emphasis on Foundational State Variables,” Transport in Porous Media, vol. 130, no. 2, Art. no. 2, 2019.

C. A. Rösinger and C. W. Scherer, “A Flexible Synthesis Framework of Structured Controllers for Networked Systems,” IEEE Trans. Control Netw. Syst., vol. 7, no. 1, Art. no. 1, 2019, doi: 10.1109/TCNS.2019.2914411.

C. A. Rösinger and C. W. Scherer, “A Scalings Approach to $H_2$-Gain-Scheduling Synthesis without Elimination,” IFAC-PapersOnLine, vol. 52, no. 28, Art. no. 28, 2019, doi: 10.1016/j.ifacol.2019.12.347.

A. Romer, J. Berberich, J. Köhler, and F. Allgöwer, “One-shot verification of dissipativity properties from input--output data,” IEEE Control Systems Letters, vol. 3, no. 3, Art. no. 3, 2019.

A. Romer, S. Trimpe, and F. Allgöwer, “Data-driven inference of passivity properties via Gaussian process optimization,” in 2019 18th European Control Conference (ECC), 2019, pp. 29--35.

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

T. Ricken and L. Lambers, “On computational approaches of liver lobule function and perfusion simulation,” GAMM-Mitteilungen, vol. 42, no. 4, Art. no. 4, May 2019, doi: 10.1002/gamm.201900016.

J. Reutzsch et al., “Direct Numerical Simulations of Oscillating Liquid Droplets: a Method to Extract Shape Characteristics,” ILASS-Europe 2019, 29th Conference on Liquid Atomization and Spray Systems, vol. Paris, France, 2019.

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

S. Oladyshkin and W. Nowak, “The connection between Bayesian Inference and Information Theory for model selection, information gain and experimental design,” Entropy, vol. 21, p. 1081, 2019, doi: doi:10.3390/e21111081.

T. Munz, L. L. Chuang, S. Pannasch, and D. Weiskopf, “VisME: Visual microsaccades explorer,” Journal of Eye Movement Research, vol. 12, no. 6, Art. no. 6, Dec. 2019, doi: 10.16910/jemr.12.6.5.

T. Munz, M. Burch, T. van Benthem, Y. Poels, F. Beck, and D. Weiskopf, “Overlap-Free Drawing of Generalized Pythagoras Trees for Hierarchy Visualization,” in 2019 IEEE Visualization Conference (VIS), Oct. 2019, pp. 251–255. doi: 10.1109/VISUAL.2019.8933606.

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.

T. Martin and F. Allgöwer, “Nonlinearity Measures for Data-Driven System Analysis and Control,” in Proc. 58th IEEE Conf. Decision and Control (CDC), Nice, France, 2019, pp. 3605–3610. doi: 10.1109/CDC40024.2019.9029804.

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, no. 1, Art. no. 1, 2019, doi: 10.1093/mnras/sty2620.

L. Lambers, T. Ricken, and M. König, “Model Order Reduction (MOR) of Function--Perfusion--Growth Simulation in the Human Fatty Liver via Artificial Neural Network (ANN),” PAMM, vol. 19, no. 1, Art. no. 1, 2019, doi: 10.1002/pamm.201900429.

L. Lambers, T. Ricken, and M. König, “A multiscale and multiphase model for the description of function-perfusion processes in the human liver,” in Advances in Engineering Materials, Structures and Systems : Innovations, Mechanics and Applications : Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa, Cape Town, South Africa, 2019, pp. 304–307. doi: 10.1201/9780429426506-52.

T. Kuhn, J. Dürrwächter, F. Meyer, A. Beck, C. Rohde, and C.-D. Munz, “Uncertainty quantification for direct aeroacoustic simulations of cavity flows,” J. Theor. Comput. Acoust., vol. 27, no. 1, 1850044, Art. no. 1, 1850044, 2019, doi: https://doi.org/10.1142/S2591728518500445.

B. J, H. C, P. J, and H. N, “Thermophysical properties of glyceline-water mixtures investigated by molecular modelling.,” Phys Chem Chem Phys, vol. 21, pp. 6467–6476, 2019.

T. Holicki and C. W. Scherer, “A Homotopy Approach for Robust Output-Feedback Synthesis,” in Proc. 27th. Med. Conf. Control Autom., 2019, pp. 87–93. doi: 10.1109/MED.2019.8798536.

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 Anal. Hybri., vol. 34, pp. 179–208, 2019, doi: https://doi.org/10.1016/j.nahs.2019.06.003.

M. Hertneck, S. Linsenmayer, and F. Allgöwer, “Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions,” in Proc. 58th IEEE Conf. Decision and Control (CDC), Nice, France, 2019, pp. 1680–1685. doi: 10.1109/CDC40024.2019.9029770.

L. Harzenetter, U. Breitenbücher, F. Leymann, K. Saatkamp, B. Weder, and M. Wurster, “Automated Generation of Management Workflows for Applications Based on Deployment Models,” in 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC), Oct. 2019, pp. 216–225. doi: 10.1109/EDOC.2019.00034.

F. S. Göküzüm, L. T. K. Nguyen, and M.-A. Keip, “An Artificial Neural Network Based Solution Scheme for Periodic Computational Homogenization of Electrostatic Problems,” Mathematical and Computational Applications, vol. 24, no. 2, Art. no. 2, Apr. 2019, doi: 10.3390/mca24020040.

F. S. Göküzüm, L. T. K. Nguyen, and M.-A. Keip, “An Artificial Neural Network based Solution Scheme to periodic Homogenization,” PAMM, vol. 19, no. 1, Art. no. 1, Nov. 2019, doi: 10.1002/pamm.201900271.

B. Grabowski et al., “Ab initio vibrational free energies including anharmonicity for multicomponent alloys,” npj Computational Materials, vol. 5, no. 1, Art. no. 1, 2019.

E.-M. Geissen, J. Hasenauer, and N. E. Radde, “Inference of finite mixture models and the effect of binning,” Statistical applications in genetics and molecular biology, vol. 18, no. 4, Art. no. 4, 2019.

V. Ferrario, M. Fischer, Y. Zhu, and J. Pleiss, “Modelling of substrate access and substrate binding to cephalosporin acylases,” Scientific Reports, vol. 9, no. 1, Art. no. 1, Aug. 2019, doi: 10.1038/s41598-019-48849-z.

I. Eisenkolb et al., “Kinetic modeling of biocatalytic reactions: A workflow for model calibration, selection and validation using Bayesian statistics.,” AIChE J, vol. 66, p. 16866, 2019.

D. Driess, S. Schmitt, and M. Toussaint, “Active Inverse Model Learning with Error and Reachable Set Estimates.,” in IROS, 2019, pp. 1826--1833.

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

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, vol. 133, pp. 11--20, Apr. 2019, doi: 10.1016/j.ijheatmasstransfer.2018.11.172.

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, no. 4, Art. no. 4, 2019.

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.

A. Beck, D. Flad, and C.-D. Munz, “Deep neural networks for data-driven LES closure models.,” J. Comput. Physics, vol. 398, 2019, [Online]. Available: http://dblp.uni-trier.de/db/journals/jcphy/jcphy398.html#BeckFM19

J. Baz, C. Held, J. Pleiss, and N. Hansen, “Thermophysical properties of glyceline-water mixtures investigated by molecular modelling.,” Phys Chem Chem Phys, vol. 21, pp. 6467–6476, 2019.

G. Baggio, S. Zampieri, and C. W. Scherer, “Gramian Optimization with Input-Power Constraints,” in 2019 IEEE 58th Conference on Decision and Control (CDC), Dec. 2019, pp. 5686–5691. doi: 10.1109/CDC40024.2019.9029169.

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, no. 1, 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, no. 1, Art. no. 1, 2018, doi: 10.1007/s11242-017-0995-9.

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

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, no. 19, 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, no. 6, Art. no. 6, Jan. 2018, doi: 10.1088/1361-648x/aaa344.

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, no. 4, Art. no. 4, 2018, doi: 10.1021/acs.jctc.7b01190.

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.

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, no. 3, Art. no. 3, Jan. 2018, doi: 10.1021/acs.jctc.7b00903.

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

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

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.

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.

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

C. W. Scherer and T. Holicki, “An IQC theorem for relations: Towards stability analysis of data-integrated systems,” IFAC-PapersOnLine, vol. 51, no. 25, Art. no. 25, 2018, doi: 10.1016/j.ifacol.2018.11.138.

C. W. Scherer and T. Holicki, “Output-Feedback Gain-Scheduling for a Class of Switched Systems via Dynamic Resetting D-Scalings,” 57th IEEE Conf. Decision and Control, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1957

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, “Some ideas on sampling strategies for data-driven inference of passivity properties for MIMO systems,” in 2018 Annual American Control Conference (ACC), 2018, pp. 6094--6100.

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

T. Ricken, N. Waschinsky, and D. Werner, “Simulation of steatosis zonation in liver lobule—a continuummechanical bi-scale, tri-phasic, multi-component approach,” in Biomedical technology, Springer, 2018, pp. 15--33.

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, 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

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

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, no. 30, 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, no. 16, 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, no. 2, Art. no. 2, 2018, doi: 10.3390/molecules23020432.

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.

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

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

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.

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

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

T. Kuhn, J. Dürrwächter, F. Meyer, A. Beck, C. Rohde, and C.-D. Munz, Uncertainty Quantification for Direct Aeroacoustic Simulations of Cavity Flows. 2018. [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1891

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, no. 19, Art. no. 19, Apr. 2018, doi: 10.1021/acs.jpcc.7b12255.

J. Kaufmann et al., “Direct numerical simulations of one- and two-component droplet wall-film interactions within the crown-type splashing regime,” Chicago, USA, Jul. 2018.

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

T. Holicki and C. W. Scherer, “Output-Feedback Gain-Scheduling Synthesis for a Class of Switched Systems via Dynamic Resetting $D$-Scalings,” in 2018 IEEE Conference on Decision and Control (CDC), Dec. 2018, pp. 6440–6445. doi: 10.1109/CDC.2018.8619128.

T. Holicki and C. W. Scherer, “A Swapping Lemma for Switched Systems,” 9th IFAC Symposium on Robust Control Design, 2018, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1955

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, no. 2, 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.

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

Y. Guo and C. W. Scherer, “Robust Gain-Scheduled Controller Design with a Hierarchical Structure,” in IFAC-PapersOnline, 2018, vol. 51, no. 25, pp. 228–233. doi: 10.1016/j.ifacol.2018.11.110.

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

D. Driess et al., “Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties,” in 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, pp. 6461--6468.

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.

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.

K. Breitsprecher, C. Holm, and S. Kondrat, “Charge Me Slowly, I Am in a Hurry: Optimizing Charge–Discharge Cycles in Nanoporous Supercapacitors,” ACS Nano, vol. 12, no. 10, Art. no. 10, Aug. 2018, doi: 10.1021/acsnano.8b04785.

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

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, no. 7, 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.

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.

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.

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.

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

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.

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. 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, 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.

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.

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

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.

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.

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, D. Gläser, B. Flemisch, and R. Helmig, “Nonlinear finite-volume scheme for complex flow processes on corner-point grids,” Finite Volumes For Complex Applications VIII, pp. 417--425, 2017, doi: 10.1007/978-3-319-57394-6_44.

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, no. 06/2017, 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, no. 1, Art. no. 1, 2017, doi: 10.11588/ans.2017.1.28490.

C. A. Rösinger and C. W. Scherer, “Structured Controller Design With Applications to Networked Systems,” 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), 2017, pp. 6389--6394.

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

A. Romer, J. M. Montenbruck, and F. Allgöwer, “Sampling strategies for data-driven inference of passivity properties,” Proc. 56th IEEE Conf. Decision and Control (CDC), pp. 6389--6394, 2017, doi: 10.1109/CDC.2017.8264623.

A. Romer, J. M. Montenbruck, and F. Allgöwer, “Determining dissipation inequalities from input-output samples,” Proc. 20th IFAC World Congress, pp. 7789--7794, 2017, doi: 10.1016/j.ifacol.2017.08.1053.

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. 04017021, 2017, doi: 10.1061/(ASCE)EM.1943-7889.0001208.

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. 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

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, “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. 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.

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

J. Meisner, T. Lamberts, and J. Kästner, “Atom Tunneling in the Water Formation Reaction H2 + OH -> H2O + H on an Ice Surface,” ACS Earth and Space Chemistry, vol. 1, no. 7, Art. no. 7, 2017, doi: 10.1021/acsearthspacechem.7b00052.

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.

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.

D. Markthaler, J. Zeman, J. Baz, J. Smiatek, and N. Hansen, “Validation of Trimethylamine-N-Oxide (TMAO) Force Fields Based on Thermophysical Properties of Aqueous TMAO Solutions,” The Journal of Physical Chemistry B, 2017, doi: 10.1021/acs.jpcb.7b07774.

D. Markthaler, J. Gebhardt, S. Jakobtorweihen, and N. Hansen, “Molecular Simulations of Thermodynamic Properties for the System alpha-Cyclodextrin/Alcohol in Aqueous Solution,” Chemie Ingenieur Technik, 2017, doi: 10.1002/cite.201700057.

M. Lorenzen, M. A. Müller, and F. Allgöwer, “Stabilizing Stochastic MPC without Terminal Constraints,” Proceedings of the American Control Conference, pp. 5636--5641, 2017, doi: 10.23919/ACC.2017.7963832.

M. Lorenzen, F. Dabbene, R. Tempo, and F. Allgöwer, “Stochastic MPC with offline uncertainty sampling,” Automatica, vol. 81, pp. 176--183, 2017, doi: 10.1016/j.automatica.2017.03.031.

M. Lorenzen, F. Dabbene, R. Tempo, and F. Allgöwer, “Constraint-Tightening and Stability in Stochastic Model Predictive Control,” IEEE Transactions on Automatic Control, vol. 62, pp. 3165--3177, 2017, doi: 10.1109/TAC.2016.2625048.

M. Lorenzen, F. Allgöwer, and M. Cannon, “Adaptive Model Predictive Control with Robust Constraint Satisfaction,” Proceedings of the IFAC World Congress, vol. 50, no. 1, Art. no. 1, 2017, doi: 10.1016/j.ifacol.2017.08.512.

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.

S. Linsenmayer, D. V. Dimarogonas, and F. Allgöwer, “Event-Based Vehicle Coordination Using Nonlinear Unidirectional Controllers,” IEEE Transactions on Control of Network Systems, 2017, doi: 10.1109/TCNS.2017.2733959.

S. Linsenmayer, R. Blind, and F. Allgöwer, “Delay-dependent data rate bounds for containability of scalar systems,” Proceedings of the 20th IFAC World Congress, pp. 7875--7880, 2017, doi: 10.1016/j.ifacol.2017.08.742.

S. Linsenmayer and F. Allgöwer, “Stabilization of Networked Control Systems with weakly hard real-time dropout description,” Proceedings of the 56th IEEE Conference on Decision and Control (CDC), pp. 4765--4770, 2017, doi: 10.1109/CDC.2017.8264364.

M. Leuschner and F. Fritzen, “Reduced order homogenization for viscoplastic composite materials including dissipative imperfect interfaces,” Mechanics of Materials, vol. 104, pp. 121--138, 2017, doi: 10.1016/j.mechmat.2016.10.008.

A. Langer, “Automated Parameter Selection in the $L^1$-$L^2$-$TV$ Model for Removing Gaussian Plus Impulse Noise,” Inverse Problems, vol. 33, 2017, doi: 10.1088/1361-6420/33/7/074002.

A. Langer, “Automated Parameter Selection for Total Variation Minimization in Image Restoration,” Journal of Mathematical Imaging and Vision, vol. 57, pp. 239--268, 2017, doi: 10.1007/s10851-016-0676-2.

M. Köppel, I. Kröker, and C. Rohde, “Intrusive Uncertainty Quantification for Hyperbolic-Elliptic Systems  Governing Two-Phase Flow in Heterogeneous Porous Media,” Computational Geosciences, vol. 21, no. 4, Art. no. 4, 2017, doi: 10.1007/s10596-017-9662-z.

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

P. N. Köhler, M. A. Müller, J. Pannek, and F. Allgöwer, “On Exploitation of Supply Chain Properties by Sequential Distributed MPC,” Proceedings of the 20th IFAC World Congress, vol. 50, no. 1, Art. no. 1, 2017, doi: 10.1016/j.ifacol.2017.08.706.

J. Köhler, M. A. Müller, N. Li, and F. Allgöwer, “Real Time Economic Dispatch for Power Networks: A Distributed Economic Model Predictive Control Approach,” Proceedings of 56th Annual Conference on Decision and Control (CDC), pp. 6340--6345, 2017, doi: 10.1109/CDC.2017.8264615.

K. Kuritz, D. Stöhr, N. Pollak, and F. Allgöwer, “On the relationship between cell cycle analysis with ergodic principles and age-structured cell population models,” Journal of Theoretical Biology, vol. 414, pp. 91--102, 2017, doi: 10.1016/j.jtbi.2016.11.024.

M. Koy et al., “High Oxidation State Molybdenum N-Heterocyclic Carbene Alkylidyne Complexes: Synthesis, Mechanistic Studies, and Reactivity,” Chemistry – A European Journal, vol. 23, no. 61, Art. no. 61, 2017, doi: 10.1002/chem.201703313.

B. Kolb, L. C. Lentz, and A. M. Kolpak, “Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods,” Scientific reports, vol. 7, no. 1, Art. no. 1, 2017.

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

C. Kleinbach, O. Martynenko, J. Promies, D. F. B. Haeufle, J. Fehr, and S. Schmitt, “Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models,” BioMedical Engineering OnLine, vol. 16:109, p. 28, 2017, doi: 10.1186/s12938-017-0399-7.

M.-A. Keip and O. Nadgir, “An electro-elastic phase-field model for nematic liquid crystal elastomers based on Landau-de-Gennes theory,” GAMM-Mitteilungen, vol. 40, pp. 102--124, 2017, doi: 10.1002/gamm.201720003.

M.-A. Keip and M. Rambausek, “Computational and analytical investigations of shape effects in the experimental characterization of magnetorheological elastomers,” International Journal of Solids and Structures, 2017, doi: 10.1016/j.ijsolstr.2017.04.012.

G. Karch et al., “Visual analysis of inclusion dynamics in two-phase flow,” IEEE Transactions on Visualization and Computer Graphics, 2017, doi: 10.1109/TVCG.2017.2692781.

A. Jensch, C. Thomaseth, and N. Radde, “Sampling-based Bayesian approaches reveal the importance of quasi-bistable behavior in cellular decision processes on the example of the MAPK signaling pathway in PC-12 cell lines,” BMC Systems Biology, vol. 11:11, 2017, [Online]. Available: http://www.readcube.com/articles/10.1186/s12918-017-0392-6?author_access_token=3q2RtuUMp5dlIzB5NpjbjG_BpE1tBhCbnbw3BuzI2RPEVP0plXI3AmBWlYn1oe56surdtpVt-iFfK94LGqtHxsstNsxlIxhNROc2bzH9YXfOK9VlviFhtLKBEKqXf5iiseQTVDcQopAF6zHM6VSseg%3D%3D

A. Hofmann and M. Hanss, “Fuzzy arithmetical controller design for active road vehicle suspension in the presence of uncertainties,” 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 582--587, 2017, doi: 10.1109/MMAR.2017.8046893.

S. Hocker, D. Rapp, and S. Schmauder, “Molecular dynamics simulations of strengthening due to silver precipitates in copper matrix,” physica status solidi (b), 2017, doi: 10.1002/pssb.201600479.

S. Hirschmann, M. Brunn, M. Lahnert, M. Mehl, C. W. Glass, and D. Pflüger, “Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo,” Advances in Parallel Computing, vol. 32, pp. 455--464, 2017, doi: 10.3233/978-1-61499-843-3-455.

M. Hintermüller, C. N. Rautenberg, T. Wu, and A. Langer, “Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests,” Journal of Mathematical Imaging and Vision, vol. 59, pp. 515--533, 2017, doi: 10.1007/s10851-017-0736-2.

A. Hessenthaler, O. Röhrle, and D. Nordsletten, “Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI,” International Journal for Numerical Methods in Biomedical Engineering, vol. 33, 2017, doi: 10.1002/cnm.2845.

A. Hessenthaler, N. Gaddum, O. Holub, R. Sinkus, O. Röhrle, and D. Nordsletten, “Experiment for validation of fluid-structure interaction models and algorithms,” International Journal for Numerical Methods in Biomedical Engineering, vol. 33, 2017, doi: 10.1002/cnm.2848.

M. Herschel, R. Diestelkämper, and H. Ben Lahmar, “A survey on provenance: What for? What form? What from?,” International Journal on Very Large Data Bases, vol. 26, no. 6, Art. no. 6, 2017, doi: 10.1007/s00778-017-0486-1.

F. Hempert et al., “Simulation of real gas effects in supersonic methane jets using a tabulated equation of state with a discontinuous Galerkin spectral element method,” Computers & Fluids, vol. 145, pp. 167--179, 2017, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0045793016304078

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

D. Hamann, N.-P. Walz, A. Fischer, M. Hanss, and P. Eberhard, “Fuzzy arithmetical stability analysis of uncertain machining systems,” Mechanical Systems and Signal Processing, vol. 98, no. 1, Art. no. 1, 2017, doi: 10.1016/j.ymssp.2017.05.012.

W. Halter, J. M. Montenbruck, and F. Allgöwer, “Systems with integral resource consumption,” Proc. 56th IEEE Conf. Decision and Control (CDC), pp. 2667--2673, 2017, doi: 10.1109/CDC.2017.8264046.

M. Hahn, U. Breitenbücher, O. Kopp, and F. Leymann, “Modeling and execution of data-aware choreographies: an overview,” Computer Science - Research and Development, 2017, doi: 10.1007/s00450-017-0387-y.

M. Hahn, U. Breitenbücher, F. Leymann, and A. Weiß, “TraDE - A Transparent Data Exchange Middleware for Service Choreographies,” Lecture Notes in Computer Science (LNCS), vol. 10573, pp. 252--270, 2017, doi: 10.1007/978-3-319-69462-7_16.

B. Haasdonk and G. Santin, “Greedy Kernel Approximation for Sparse Surrogate Modelling,” Reduced-Order Modeling (ROM) for Simulation and Oprimization, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1613

J. Haas et al., “Challenges and trends of energy storage expansion planning for flexibility provision in power systems - a review,” Renewable and Sustainable Energy Reviews, vol. 80, pp. 603–619, 2017, doi: 10.1016/j.rser.2017.05.201.

F. S. Göküzüm and M.-A. Keip, “An Algorithmically Consistent Macroscopic Tangent Operator for FFT-based Computational Homogenization,” International Journal for Numerical Methods in Engineering, 2017, doi: 10.1002/nme.5627.

A. Guthke, “Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice,” Groundwater, vol. 55, pp. 646--650, 2017, doi: 10.1111/gwat.12554.

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.

G. Goebel and F. Allgöwer, “Semi-explicit MPC based on subspace clustering,” Automatica, vol. 83, pp. 309--316, 2017, doi: 10.1016/j.automatica.2017.06.036.

G. Goebel and F. Allgöwer, “New results on semi-explicit and almost explicit MPC algorithms,” at-Automatisierungstechnik, vol. 65, pp. 245--259, 2017, doi: 10.1515/auto-2017-0006.

D. Gläser, R. Helmig, B. Flemisch, and H. Class, “A discrete fracture model for two-phase flow in fractured porous media,” Advances in Water Resources, vol. 110, pp. 335--348, 2017, doi: 10.1016/j.advwatres.2017.10.031.

A. Gholami, A. Mang, K. Scheufele, C. Davatzikos, M. Mehl, and G. Biros, “A Framework for Scalable Biophysics-based Image Analysis,” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis SC17, pp. 19:1--19:13, 2017, doi: 10.1145/3126908.3126930.

F. Fritzen and M. Hassani, “Space-time model order reduction for nonlinear viscoelastic systems subjected to long-term loading,” Meccanica, vol. 52, no. 276, Art. no. 276, 2017, doi: 10.1007/s11012-017-0734-x.

S. Frey, “Sampling and Estimation of Pairwise Similarity in Spatio-Temporal Data Based on Neural Networks,” Informatics, 2017, doi: 10.3390/informatics4030027.

S. Frey and T. Ertl, “Fast Flow-based Distance Quantification and Interpolation for High-Resolution Density Distributions,” EuroGraphics 2017, Short Paper, 2017, doi: 10.2312/egsh.20171009.

S. Frey and T. Ertl, “Progressive Direct Volume-to-Volume Transformation,” IEEE Transactions on Visualization and Computer Graphics, vol. 23, pp. 921--930, 2017, doi: 10.1109/TVCG.2016.2599042.

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

T. Fetzer, J. Vanderborght, K. Mosthaf, K. M. Smits, and R. Helmig, “Heat and water transport in soils and across the soil-atmosphere interface: 2. Numerical analysis,” WATER RESOURCES RESEARCH, vol. 53, no. 2, Art. no. 2, Feb. 2017, doi: 10.1002/2016WR019983.

T. Fetzer, C. Grüninger, B. Flemisch, and R. Helmig, “On the Conditions for Coupling Free Flow and Porous-Medium Flow in a Finite Volume Framework,” Finite Volumes for Complex Applications VIII, pp. 347--356, 2017, doi: 10.1007/978-3-319-57394-6_37.

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

M. Fetzer and C. W. Scherer, “Absolute stability analysis of discrete time feedback interconnections,” IFAC-PapersOnLine, vol. 50, no. 1, Art. no. 1, 2017, doi: 10.1016/j.ifacol.2017.08.757.

M. Fetzer and C. W. Scherer, “Full-block multipliers for repeated, slope restricted scalar nonlinearities,” Int. J. Robust Nonlin., vol. 27, no. 17, Art. no. 17, 2017, doi: 10.1002/rnc.3751.

M. Fetzer and C. W. Scherer, “Zames-Falb Multipliers for Invariance,” tIEEE Control Systems Letters, vol. 99, 2017, doi: 10.1109/LCSYS.2017.2718556.

M. Fetzer, C. W. Scherer, and J. Veenman, “Invariance with Dynamic Multipliers,” IEE T. Automat. Contr., 2017, doi: 10.1109/TAC.2017.2762764.

O. Fernandes, S. Frey, and T. Ertl, “Transportation-based Visualization of Energy Conversion,” IVAPP, p. 12, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1537

J. Fehr and C. Kleinbach, “Optimal Deceleration of Surrogate Models in a Generic Side Impact Setup. International Journal of Crashworthiness,” International Journal of Crashworthiness, 2017, doi: 10.1080/13588265.2017.1287525.

S. Fechter, C.-D. Munz, C. Rohde, and C. Zeiler, “A sharp interface method for compressible liquid-vapor flow with phase    transition and surface tension,” JOURNAL OF COMPUTATIONAL PHYSICS, vol. 336, pp. 347–374, May 2017, doi: 10.1016/j.jcp.2017.02.001.

S. Fechter, C.-D. Munz, C. Rohde, and C. Zeiler, “Approximate Riemann solver for compressible liquid vapor flow with phase transition and surface tension,” Computers & Fluids, 2017, [Online]. Available: https://doi.org/10.1016/j.compfluid.2017.03.026

M. P. Englert, “Learning Manipulation Skills from a Single Demonstration,” International Journal of Robotics Research, 2017, [Online]. Available: https://ipvs.informatik.uni-stuttgart.de/mlr/papers/17-englert-IJRRa.pdf

W. Ehlers and C. Luo, “A phase-field approach embedded in the Theory of Porous Media for the description of dynamic hydraulic fracturing,” Computer Methods in Applied Mechanics and Engineering, vol. 315, pp. 348--368, 2017, doi: 10.1016/j.cma.2016.10.045.

H. Ebel, E. Sharafian Ardakani, and P. Eberhard, “Distributed Model Predictive Formation Control with Discretization-Free Path Planning for Transporting a Load. Robotics and Autonomous Systems,” Robotics and Autonomous Systems, vol. 96, pp. 211--223, 2017, doi: 10.1016/j.robot.2017.07.007.

H. Ebel, E. Sharafian Ardakani, and P. Eberhard, “Comparison of Distributed Model Predictive Control Approaches for Transporting a Load by a Formation of Mobile Robots,” Proceedings of the 8th ECCOMAS Thematic Conference on Multibody Dynamics, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1717

W.-P. Düll, B. Hilder, and G. Schneider, “Analysis of the embedded cell method in 1D for the numerical homogenization of metal-ceramic composite materials.,” J. Appl. Anal., 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1671

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.,” European J. Appl. Math., 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1670

C. Dibak, F. Dürr, and K. Rothermel, “Demo: Server-assisted interactive mobile simulations for pervasive applications,” Proceesings of the 15th IEEE International Conference on Pervasive Computing and Communications Workshops, 2017, doi: 10.1109/PERCOMW.2017.7917525.

C. Dibak, A. Schmidt, F. Dürr, B. Haasdonk, and K. Rothermel, “Server-Assisted Interactive Mobile Simulations for Pervasive Applications,” Proceesings of the 15th IEEE International Conference on Pervasive Computing and Communications, 2017, doi: 10.1109/PERCOM.2017.7917857.

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.

S. Copplestone, P. Ortwein, and C.-D. Munz, “Complex-Frequency Shifted PMLs for Maxwell"s Equations With Hyperbolic Divergence Cleaning and Their Application in Particle-in-Cell Codes,” IEEE Transactions on Plasma Science, vol. 45, pp. 2--14, 2017, doi: 10.1109/TPS.2016.2637061.

B. Christ et al., “Computational Modeling in Liver Surgery,” Frontiers in Physiology, vol. 8, p. 906, 2017, doi: 10.3389/fphys.2017.00906.

C. Chalons, C. Rohde, and M. Wiebe, “A Finite Volume Method for Undercompressive Shock Waves in Two Space Dimensions,” ESAIM Math. Model. Numer. Anal., 2017, [Online]. Available: https://www.esaim-m2an.org/component/article?access=doi&doi=10.1051/m2an/2017027

C. Chalons, J. Magiera, C. Rohde, and M. Wiebe, “A Finite-Volume Tracking Scheme for Two-Phase Compressible Flow,” Springer Proc. Math. Stat., 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1721

B. W. Carabelli, R. Blind, F. Dürr, and K. Rothermel, “State-dependent priority scheduling for networked control systems,” Proceedings of the American Control Conference (ACC), pp. 1003--1010, 2017, doi: 10.23919/ACC.2017.7963084.

R. Bürger and I. Kröker, “Hybrid Stochastic Galerkin Finite Volumes for the Diffusively Corrected Lighthill-Whitham-Richards Traffic Model,” Springer Proceedings in Mathematics & Statistics, vol. 200, pp. 189--197, 2017, doi: 10.1007/978-3-319-57394-6_21.

L. Böger, M.-A. Keip, and C. Miehe, “Minimization and Saddle-Point Principles for the Phase-Field Modeling of Fracture in Hydrogels,” Computational Materials Science, vol. 138, pp. 474--485, 2017, doi: 10.1016/j.commatsci.2017.06.010.

M. Bußler et al., “Visualization of fracture progression in peridynamics,” Computers & Graphics, vol. 67, pp. 45--57, 2017, doi: 10.1016/j.cag.2017.05.003.

T. Brünnette, G. Santin, and B. Haasdonk, “Greedy kernel methods for accelerating implicit integrators for parametric ODEs,” Numerical Mathematics and Advanced Applications - ENUMATH 2017, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1767

F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Robust Event-triggered MPC With Guaranteed Asymptotic Bound and Average Sampling Rate,” IEEE Transactions on Automatic Control, 2017, doi: 10.1109/TAC.2017.2702646.

V. Bruder, S. Frey, and T. Ertl, “Prediction-Based Load Balancing and Resolution Tuning for Interactive Volume Raycasting,” Visual Informatics, 2017, doi: 10.1016/j.visinf.2017.09.001.

M. Brehler, M. Schirwon, D. Göddeke, and P. M. Krummrich, “A GPU-accelerated Fourth-Order Runge-Kutta in the Interaction Picture Method for the Simulation of Nonlinear Signal Propagation in Multimode Fibers,” Journal of Lightwave Technology, vol. 35, pp. 3622--3628, 2017, doi: 10.1109/JLT.2017.2715358.

C. Bradley et al., “Towards realistic HPC models of the neuromuscular system,” Frontiers in Physiology, 2017, [Online]. Available: http://www.simtech.uni-stuttgart.de/publikationen/prints.php?ID=1772

J. Behler, “First principles neural network potentials for reactive simulations of large molecular and condensed systems,” Angewandte Chemie International Edition, vol. 56, no. 42, Art. no. 42, 2017.

B. Becker, B. Guo, K. Bandilla, M. A. Celia, B. Flemisch, and R. Helmig, “A Pseudo-Vertical Equilibrium Model for Slow Gravity Drainage Dynamics,” Water Resources Research, vol. 53, no. 12, Art. no. 12, 2017, doi: 10.1002/2017WR021644.

A. Bayer, S. Schmitt, M. Günther, and D. Haeufle, “The influence of biophysical muscle properties on simulating fast human arm movements,” Computer methods in biomechanics and biomedical engineering, vol. 20, no. 8, Art. no. 8, 2017.

P. U. Baur, “Comparison of methods for parametric model order reduction of instationary problem,” Chapter in P. Benner, A. Cohen, M. Ohlberger, K. Willcox (Eds.): Model Reduction and Approximation: Theory and Algorithms, pp. 377--407, 2017, doi: 10.1137/1.9781611974829.ch9.

B. Baumann, D. Hamann, and P. Eberhard, “Time-dependent Parametric Model Order Reduction for Material-Removal Simulations,” Modeling, Simulation and Applications, vol. 17, 2017, doi: 10.1007/978-3-319-58786-8_30.

A. Barth and A. Stein, “Approximation and simulation of infinite-dimensional Levy processes,” Stochastic and Partial Differential Equations, 2017, doi: 10.1007/s40072-017-0109-2.

A. Barth and F. G. Fuchs, “Uncertainty quantification for linear hyperbolic equations  with stochastic process or random field coefficients,” Appl. Numer. Math., vol. 121, pp. 38--51, 2017, doi: 10.1016/j.apnum.2017.06.009.

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.

SS. Agada, S. Geiger, A. ElSheikh, and S. Oladyshkin, “Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs,” Petroleum Geoscience, vol. 23, pp. 270--283, 2017, doi: 10.1144/petgeo2016-068.

Y. Zhang, D. M. Pedroso, and W. Ehlers, “One-dimensional dynamics of saturated incompressible porous media: analytical solutions and influence of inertia terms,” International Journal for Numerical and Analytical Methods in Geomechanics, vol. 40, pp. 2489--2513, 2016, doi: 10.1002/nag.2541.

Y. Zhang, Y. Liu, G. Pau, S. Oladyshkin, and S. Finsterle, “Evaluation of multiple reduced-order models to enhance confidence in global sensitivity analyses,” International Journal of Greenhouse Gas Control, vol. 49, pp. 217--226, 2016, doi: 10.1016/j.ijggc.2016.03.003.

S. Zeng, H. Ishii, and F. Allgöwer, “Sampled Observability of Discrete Heterogeneous Ensembles from Anonymized Output Measurements,” Proceedings of the 54th IEEE Conference on Decision and Control, p. 6, 2016, doi: 10.1109/CDC.2015.7403111.

S. Zeng, S. Waldherr, C. Ebenbauer, and F. Allgöwer, “Ensemble Observability of Linear Systems,” IEEE Transactions on Automatic Control, vol. 61, p. 14, 2016, doi: 10.1109/TAC.2015.2463631.

L. Xia, F. Fritzen, and P. Breitkopf, “Evolutionary topology optimization of elastoplastic structures,” Structural and Multidisciplinary Optimization, 2016, doi: 10.1007/s00158-016-1523-1.

H.-J. Wunderlich, C. Braun, and A. Schöll, “Pushing the Limits: How Fault Tolerance Extends the Scope of Approximate Computing,” Proceedings of the 22nd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), pp. 133--136, 2016, doi: 10.1109/IOLTS.2016.7604686.

J. Wu and F. Allgöwer, “Verteilte Ausgangsregelung von Multiagentensystemen mit gekoppelten Messgrößen,” at-Automatisierungstechnik, vol. 64, no. 8, Art. no. 8, 2016, doi: 10.1515/auto-2016-0041.

J. Wu, A. Elser, S. Zeng, and F. Allgöwer, “Consensus-based distributed Kalman-Bucy filter for continuous-time systems,” IFAC-PapersOnLine, vol. 49, no. 22, Art. no. 22, 2016, doi: 10.1016/j.ifacol.2016.10.417.

D. Weidler and A. Gross, “Transferable Anisotropic United-Atom Force Field Based on the Mie Potential for Phase Equilibria: Aldehydes, Ketones, and Small Cyclic Alkanes,” I&EC research, vol. 55, pp. 12123--12132, 2016, doi: 10.1021/acs.iecr.6b02182.

K. Vukojevic-Haupt, F. Haupt, and F. Leymann, “On-demand provisioning of workflow middleware and services into the cloud: an overview,” Computing, 2016, doi: 10.1007/s00607-016-0521-x.

J. Veenman, C. W. Scherer, and H. Köroglu, “Robust stability and performance analysis with integral quadratic constraints,” Eur. J. Control, vol. 31, pp. 1–32, 2016, doi: 10.1016/j.ejcon.2016.04.004.

J. Veenman, M. Lahr, and C. W. Scherer, “Robust controller synthesis with unstable weights,” in 55th IEEE Conf. Decision and Control, 2016, pp. 2390–2395. doi: 10.1109/CDC.2016.7798620.

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, no. 7, Art. no. 7, 2016, doi: 10.1002/rnc.3360.

E. Trottemant, M. Mazo, and C. W. Scherer, “Synthesis of Robust Piecewise Affine Output-Feedback Strategies,” J. Guid. Control Dynam., vol. 39, pp. 1461--1469, 2016, doi: 10.2514/1.G001343.

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

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

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, 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.

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, no. 3, Art. no. 3, 2016.

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.

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.

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

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, no. 5, 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, no. 1, 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, no. 26, 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, no. 11, 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.

H. Nguyen Tien, C. W. Scherer, J. M. A. Scherpen, and V. Müller, “Linear Parameter Varying Control of Doubly Fed Induction Machines,” IEEE Trans. Ind. Electron., vol. 63, no. 1, Art. no. 1, 2016, doi: 10.1109/TIE.2015.2465895.

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.

S. M. Najmabadi, Z. Wang, Y. Baroud, and S. Simon, A self-adaptive dynamic partial reconfigurable architecture for online data stream compression. 2016. doi: 10.1109/FPGA4GPC.2016.7518529.

S. M. Najmabadi, Z. Wang, Y. Baroud, and S. Simon, Online bandwidth reduction using dynamic partial reconfiguration. 2016. doi: 10.1109/FCCM.2016.49.

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.

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

J. M. Montenbruck and F. Allgöwer, “Some problems arising in controller design from big data via input-output methods,” in 2016 IEEE 55th Conference on Decision and Control (CDC), 2016, pp. 6525--6530.

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. 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. 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, no. 38, Art. no. 38, 2016, doi: 10.1021/acs.iecr.6b02671.

O. Lötgering-Lin, A. Schwinger, 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,” I&EC 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.

M.-A. Keip and M. Rambausek, “A multiscale approach to the computational characterization of magnetorheological elastomers,” International Journal for Numerical Methods in Engineering, vol. 107, pp. 338--360, 2016, doi: 10.1002/nme.5178.

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, no. 1, Art. no. 1, 2016, doi: 10.1140/epjnbp/s40366-016-0034-8.

T. Holicki and C. W. Scherer, Controller synthesis for distributed systems over undirected graphs. 55th IEEE Conf. on Decision and Control, 2016. doi: 10.1109/CDC.2016.7799071.

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, no. 1, 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, “Auto-Tuning Intermediate Representations for In Situ Visualization,” New York Scientific Data Summit, 2016, doi: 10.1109/NYSDS.2016.7747807.

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

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, no. 2, SI, 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, no. 3, Art. no. 3, 2016, doi: 10.1137/140985482.

M. Fetzer and C. W. Scherer, Stability and performance analysis on Sobolev spaces. 55th IEEE Conf. on Decision and Control, 2016. doi: 10.1109/CDC.2016.7799390.

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.

L. Feller, C. Kleinbach, J. Fehr, and S. Schmitt, Incorporating Muscle Activation Dynamics into the Global Human Body Model. 2016. [Online]. Available: http://www.ircobi.org/wordpress/downloads/irc16/pdf-files/71.pdf

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.

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.

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.

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, 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 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.

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, 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, 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.

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, no. 2, Art. no. 2, Sep. 2016, doi: 10.1007/s10494-016-9704-y.

A. Beck, D. Flad, C. Tonhäuser, G. Gassner, and C.-D. Munz, “On the Influence of Polynomial De-aliasing on Subgrid Scale Models,” Flow Turbulence Combustion, vol. 97, pp. 475--511, 2016, doi: 10.1007/s10494-016-9704-y.

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.

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.

P. Bastian et al., Advances Concerning Multiscale Methods and Uncertainty Quantification in “EXA-DUNE in Software for Exascale Computing -- SPPEXA 2013--2015.” Springer, 2016. doi: 10.1007/978-3-319-40528-5_2.

P. Bastian et al., Hardware-Based Efficiency Advances in the EXA-DUNE Project in “Software for Exascale Computing -- SPPEXA 2013--2015.” Springer, 2016. doi: 10.1007/978-3-319-40528-5_1.

A. Barth, C. Schwab, and J. Sukys, “Multilevel Monte Carlo Simulation of Statistical Solutions to the Navier--Stokes Equations,” in Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014, R. Cools and D. Nuyens, Eds. Cham: Springer International Publishing, 2016, pp. 209--227. doi: 10.1007/978-3-319-33507-0_8.

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.

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

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, no. 2, 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.

SS. Agada, S. Geiger, H. ElSheikh, and S. Oladyshkin, “Data-driven surrogates for rapid simulation and optimisation of WAG injection in fractured carbonate reservoirs,” Petroleum Geoscience, 2016, doi: 10.1144/petgeo2016-068.

S. Zeng, H. Ishii, and F. Allgöwer, “On the state estimation problem for discrete ensembles from discrete-time output snapshots,” Proceedings of the 2015 American Control Conference, p. 6, 2015, doi: 10.1109/ACC.2015.7172092.

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.

J. Wu, L. Li, V. Ugrinovskii, and F. Allgöwer, “Distributed filter design for cooperative H-infinity-type estimation,” Proc. IEEE Conference on Control Applications (CCA), pp. 1373--1378, 2015, doi: 10.1109/CCA.2015.7320803.

J. Wu, V. Ugrinovskii, and F. Allgöwer, “Cooperative H-infinity estimation for large-scale interconnected linear systems,” Proc. American Control Conference, pp. 2119--2124, 2015, doi: 10.1109/ACC.2015.7171046.

K. Wolf et al., “TUIs in the Large: Using Paper Tangibles with Mobile Devices,” CHI’15 Extended Abstracts, pp. 1579--1584, 2015, doi: 10.1145/2702613.2732863.

K. Wolf and J. Willaredt t, PickRing: seamless interaction through pick-up detection. 2015. doi: 10.1145/2735711.2735792.

K. Wolf and T. Bäder, Illusion of Surface Changes Induced by Tactile and Visual Touch Feedback. 2015. doi: 10.1145/2702613.2732703.

A. Wohlfarth, J. Smiatek, K.-D. Kreuer, S. Takamuku, P. Jannasch, and J. Maier, “Proton Dissociation of Sulfonated Polysulfones: Influence of Molecular Structure and Conformation,” Macromolecules, vol. 48, no. 4, Art. no. 4, 2015, doi: 10.1021/ma502550f.

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 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.

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

P. Weber, M. Hornjik, M. A. Olayioye, A. Hausser, and N. Radde, “A first ODE model of molecular interactions at the trans-Golgi network for secretion control,” BMC Syst Biol, vol. 9, 2015, doi: 10.1186/s12918-015-0147-1.

D. Weber, A. Sahami Shirazi, and N. Henze, “Towards Smart Notifications using Research in the Large,” MobileHCI 15 Adjunct, 2015, doi: 10.1145/2786567.2794334.

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.

K. Vukojevic-Haupt, F. Haupt, F. Leymann, and L. Reinfurt, “Bootstrapping Complex Workflow Middleware Systems into the Cloud,” eScience, pp. 126--135, 2015, doi: 10.1109/eScience.2015.69.

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=

M. Vacher, J. Meisner, D. Mendive-Tapia, M. J. Bearpark, and M. A. Robb, “Electronic Control of Initial Nuclear Dynamics Adjacent to a Conical Intersection,” The Journal of Physical Chemistry A, vol. 119, pp. 5165--5172, 2015, doi: 10.1021/jp509774t.

E. J. Trottemant, C. W. Scherer, and M. Mazo Jr, “Optimality of robust disturbance-feedback strategies,” Int. J. Robust Nonlin, 2015, doi: 10.1002/rnc.3360.

P. Tempel, P. Miermeister, and A. Pott, “Kinematics and Dynamics Modeling for Real-Time Simulation of the Cable-Driven Parallel Robot IPAnema 3,” The 14th IFToMM World Congress, vol. 2, pp. 117--123, 2015, doi: 10.6567/IFToMM.14TH.WC.OS4.020.

P. Tempel, F. Schnelle, A. Pott, and P. Eberhard, “Design and Programming for Cable-Driven Parallel Robots in the German Pavilion at the EXPO 2015,” Machines, vol. 3, pp. 223--241, 2015, doi: 10.3390/machines3030223.

P. Tempel, P. Miermeister, A. Lechler, and A. Pott, “Modelling of Kinematics and Dynamics of the IPAnema 3 Cable Robot for Simulative Analysis,” AMM (Applied Mechanics and Materials), vol. 794, pp. 419--426, 2015, doi: 10.4028/www.scientific.net/AMM.794.419.

A. Taudt, A. Arnold, and J. Pleiss, “Simulation of protein association: Kinetic pathways towards crystal contacts,” Physical Review E, vol. 91, p. 033311, 2015, doi: 10.1103/PhysRevE.91.033311.

S. Strauch, V. Andrikopoulos, D. Karastoyanova, and K. Vukojevic-Haupt, “Migrating eScience Applications to the Cloud: Methodology and Evaluation,” Cloud Computing with E-science Applications, 2015, [Online]. Available: https://www.crcpress.com/Cloud-Computing-with-e-Science-Applications/Terzo-Mossucca/9781466591158

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, no. 1, Art. no. 1, 2015, doi: 10.1137/141001743.

M. Sinsbeck and W. Nowak, “An optimal sampling rule for nonintrusive polynomial chaos expansions of expensive models,” International Journal for Uncertainty Quantification, vol. 5, no. 3, Art. no. 3, 2015, doi: 10.1615/Int.J.UncertaintyQuantification.2015008446.

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, W. Illman, T. Wöhling, and W. Nowak, “Finding the Right Balance Between Groundwater Model Complexity and Experimental Effort via Bayesian Model Selection,” Journal of Hydrology, vol. 531/1, pp. 96--110, 2015, doi: 10.1016/j.jhydrol.2015.07.047.

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.

A. Schöll, C. Braun, M. A. Kochte, and H.-J. Wunderlich, “Efficient On-Line Fault-Tolerance for the Preconditioned Conjugate Gradient Method,” IEEE International On-Line Testing Symposium (IOLTS), pp. 95--100, 2015, doi: 10.1109/IOLTS.2015.7229839.

A. Schöll, C. Braun, M. A. Kochte, and H.-J. Wunderlich, “Low-Overhead Fault-Tolerance for the Preconditioned Conjugate Gradient Solver,” Proceedings of the International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), pp. 60--65, 2015, doi: 10.1109/DFT.2015.7315136.

P. Schröder, A. Wagner, and W. Ehlers, “Towards the continuum-mechanical modelling of metastatic tumour growth in the brain,” PAMM, vol. 15, pp. 107--108, 2015, [Online]. Available: http://onlinelibrary.wiley.com/doi/10.1002/pamm.201510044/full

S. Schmitt and D. Häufle, Mechanics and Thermodynamics of Biological Muscle - A Simple Model Approach. 2015. doi: 10.1007/978-3-662-44506-8_12.

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.

V. Schleper, “A hybrid model for traffic flow and crowd dynamics with random individual properties,” Mathematical Biosciences and Engineering, vol. 12, no. 2, Art. no. 2, 2015, doi: 10.3934/mbe.2015.12.393.

C. W. Scherer, “Gain-scheduling control with dynamic multipliers by convex optimization,” SIAM J. Contr. Optim., vol. 53, no. 3, Art. no. 3, 2015, doi: 10.1137/140985871.

D. Scheer, W. Konrad, H. Class, A. Kissinger, S. Knopf, and V. Noack, “Expert involvement in science development: (re-)evaluation of an early screening tool for carbon storage site characterization,” International Journal of Greenhouse Gas Control, vol. 37, pp. 228--236, 2015, doi: 10.1016/j.ijggc.2015.03.023.

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.

V. Schauer and C. Linder, “The reduced basis method in all-electron calculations with finite elements,” Advances in Computational Mathematics, 2015, doi: 10.1007/s10444-014-9374-z.

K. Scharnowski, S. Boblest, and T. Ertl, “Improved Sparse Seeding for 3D Electrostatic Field Lines,” EuroVis 2015 Short Papers, 2015, doi: 10.2312/eurovisshort.20151120.

A. V. Ryzhkov, P. V. Melenev, C. Holm, and Y. L. Raikher, “Coarse-grained molecular dynamics simulation of small ferrogel objects,” Journal of Magnetism and Magnetic Materials, vol. 383, pp. 277--280, 2015, doi: 10.1016/j.jmmm.2014.11.008.

I. Rybak, J. Magiera, R. Helmig, and C. Rohde, “Multirate time integration for coupled saturated/unsaturated porous medium and free flow systems,” Computational Geosciences, vol. 19, pp. 299--309, 2015, doi: 10.1007/s10596-015-9469-8.

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.

T. Ricken, D. Werner, H. G. Holzhütter, M. König, U. Dahmen, and O. Dirsch, “Modeling function--perfusion behavior in liver lobules including tissue, blood, glucose, lactate and glycogen by use of a coupled two-scale PDE--ODE approach,” Biomechanics and Modeling in Mechanobiology, vol. 14, no. 3, Art. no. 3, Jun. 2015, doi: 10.1007/s10237-014-0619-z.

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, no. 3, Art. no. 3, 2015, doi: 10.1021/ma502238z.

M. Pfeiffer, C.-D. Munz, and S. Fasoulas, “Hyperbolic divergence cleaning, the electrostatic limit, and potential boundary conditions for particle-in-cell codes,” Journal of Computational Physics, vol. 294, pp. 547--561, 2015, doi: 10.1016/j.jcp.2015.04.001.

M. Pfeiffer, A. Mirza, C.-D. Munz, and S. Fasoulas, “Two statistical particle split and merge methods for Particle-in-Cell codes,” Computer Physics Communications, vol. 191, pp. 9--24, 2015, doi: 10.1016/j.cpc.2015.01.010.

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. IOP Publishing Ltd, 2015. doi: 10.1088/0953-8984/27/32/325105.

MA. Olivares, J. Haas, and R. Palma-Behnke, “A framework to identify Pareto-efficient subdaily environmental flow constraints on hydropower reservoirs using a grid-wide power dispatch model,” Water Resources Research, vol. 51, no. 5, Art. no. 5, 2015, doi: 10.1002/2014WR016215.

J. Neusser, C. Rohde, and V. Schleper, “Relaxation of the Navier-Stokes-Korteweg equations for compressible two-phase flow with phase transition,” International journal for numerical methods in fluids, vol. 79, no. 12, Art. no. 12, 2015, doi: 10.1002/fld.4065.

S. Najmabadi, Z. Wang, Y. Baroud, and S. Simon, High throughput hardware architectures for asym- metric numeral systems entropy coding. 2015. doi: 10.1109/ISPA.2015.7306068.

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, 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.

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, 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, 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.

D. Molnar, U. Weber, P. Binkele, D. Rapp, and S. Schmauder, “Prediction of macroscopic damage behaviour of precipitation strengthened steels via multiscale simulations,” GAMM-Mitteilungen, vol. 38, no. 2, Art. no. 2, 2015, doi: 10.1002/gamm.201510013.

J. Missler, D. Schwarzmann, and L. I. Allerhand, “On the Influence of Filter Choice in Output-Feedback MRAC during Adaptation Transients,” IFAC-PapersOnLine, vol. 48, no. 11, Art. no. 11, 2015, doi: 10.1016/j.ifacol.2015.09.236.

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.

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.

C. Miehe and D. Zäh, “Multiplicative electro-elasticity of electroactive polymers accounting for micromechanically-based network models,” Computer Methods in Applied Mechanics and Engineering, vol. 286, pp. 394--421, 2015, doi: 10.1016/j.cma.2014.12.017.

C. Miehe and H. Dal, “Computational electro-chemo-mechanics of lithium-ion battery electrodes at finite strains,” Computational Mechanics, vol. 55, pp. 303--325, 2015, doi: 10.1007/s00466-014-1102-5.

J. Meisner, M. Vacher, M. J. Bearpark, and M. A. Robb, “Geometric Rotation of the Nuclear Gradient at a Conical Intersection: Extension to Complex Rotation of Diabatic States,” Journal of Chemical Theory and Computation, vol. 11, no. 7, Art. no. 7, 2015, doi: 10.1021/acs.jctc.5b00364.

S. Mayer, K. Wolf, S. Schneegass, and N. Henze, “Modeling Distant Pointing for Compensating Systematic Displacements,” ACM Conference on Human Factors in Computing Systems, vol. 33, pp. 4165--4168, 2015, doi: 10.1145/2702123.2702332.

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.

I. Martini, G. Rozza, and B. Haasdonk, “Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system,” Advances in Computational Mathematics, vol. 41, no. 5, Art. no. 5, 2015, doi: 10.1007/s10444-014-9396-6.

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, “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.

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. 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, no. 3, Art. no. 3, 2015, doi: 10.1007/s10409-015-0397-6.

L. Lischke et al., Using Space: Effect of Display Size on Users’ Search Performance. 2015. doi: 10.1145/2702613.2732845.

L. Lischke, S. Mayer, K. Wolf, A. Sahami Shirazi, and N. Henze, Subjective and Objective Effects of Tablet’s Pixel Density. 2015. doi: 10.1145/2702123.2702390.

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, no. 13, Art. no. 13, 2015, doi: 10.1039/c4cp05312e.

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

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.

M. Kutter, C. Rohde, and A.-M. Sändig, “Well - Posedness of a Two Scale Model dor Liquid Phase Epitaxy with Elasticity, Contin. Mech. Thermodyn., University of Stuttgart,” Continuum Mechanics and Thermodynamics, pp. 1--28, 2015, doi: 10.1007/s00161-015-0462-1.

M. Kuron and A. Arnold, “Role of geometrical shape in like-charge attraction of DNA,” The European Physical Journal E, vol. 38, pp. 1--6, 2015, doi: 10.1140/epje/i2015-15020-9.

K. Kupczik, H. Stark, R. Mundry, F. T. Neininger, T. Heidlauf, and O. Röhrle, “Reconstruction of muscle fascicle architecture from iodine-enhanced microCT images: a combined texture mapping and streamline approach,” Journal of Theoretical Biology, vol. 382, pp. 34--43, 2015, doi: 10.1016/j.jtbi.2015.06.034.

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.

K. Kratzer and A. Arnold, “Two-stage crystallization of charged colloids under low supersaturation conditions,” Soft Matter, vol. 11, pp. 2174--2182, 2015, doi: 10.1039/C4SM02365J.

J. Koch and W. Nowak, “Predicting DNAPL mass discharge and contaminated site longevity probabilities: Conceptual model and high-resolution stochastic simulation,” Water Resources Research, vol. 51, no. 2, Art. no. 2, 2015, doi: 10.1002/2014WR015478.

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, no. 4, Art. no. 4, 2015, doi: 10.1137/120899236.

M.-A. Keip and M. Rambausek, “On the generation of soft magneto-electric effects through Maxwell interactions,” Proceedings in Applied Mathematics and Mechanics, vol. 15, pp. 309--311, 2015, doi: 10.1002/pamm.201510145.

S. Kaulmann, B. Flemisch, B. Haasdonk, K.-A. Lie, and M. Ohlberger, “The Localized Reduced Basis Multiscale method for two-phase flows in porous media,” International Journal for Numerical Methods in Engineering, vol. 102, no. 5, Art. no. 5, 2015, doi: 10.1002/nme.4773.

G. K. Karch, F. Sadlo, D. Weiskopf, and T. Ertl, “Visualization of 2D Unsteady Flow Using Streamline-Based Concepts in Space-Time,” Journal of Visualization, pp. 1--14, 2015, doi: 10.1007/s12650-015-0284-z.

S. Huang et al., “Buckling of paramagnetic chains in soft gels,” 2015, [Online]. Available: http://arxiv.org/abs/1504.03884

M. Hlawatsch, M. Burch, F. Beck, J. Freire, C. Silva, and D. Weiskopf, “Visualizing the Evolution of Module Workflows,” Proceedings of the International Conference on Information Visualisation (IV), 2015, [Online]. Available: http://www.visus.uni-stuttgart.de/uploads/tx_vispublications/IV15_Module_Workflows.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

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

A. Hemmen, A. Z. Pangiotopoulos, and J. Gross, “Grand Canonical Monte Carlo Simulations Guided by an Analytic Equation of State-Transferable Anisotropic Mie Potentials for Ethers,” The Journal of Phisical Chemistry, vol. 119, pp. 7087--7099, 2015, doi: 10.1021/acs.jpcb.5b01806.

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.

R. Helmig, T. Koeppl, and B. Wohlmuth, “A multi-scale model for mass transport in arteries and tissue,” Recent Trends in Computational Engineering-CE2014, pp. 197--213, 2015, [Online]. Available: https://link.springer.com/chapter/10.1007%2F978-3-319-22997-3_12

B. Harrach and M. Ullrich, “Resolution Guarantees in Electrical Impedance Tomography,” Medical Imaging, vol. 34, no. 7, Art. no. 7, 2015, doi: 10.1109/TMI.2015.2404133.

B. Harrach and M. Ullrich, “Local uniqueness for an inverse boundary value problem with partial data,” Proc. Amer. Math. Soc., 2015, [Online]. Available: http://www.ams.org/cgi-bin/mstrack/accepted_papers/proc

B. Harrach, E. Lee, and M. Ullrich, “Combining frequency-difference and ultrasound modulated electrical impedance tomography,” Inverse Problems, vol. 31, no. 9, Art. no. 9, 2015, doi: 10.1088/0266-5611/31/9/095003.

W. Halter, N. Kress, K. Otte, S. Reich, B. Hauer, and F. Allgöwer, Yield-Analysis of Different Coupling Schemes for Interconnected Bio-Reactors. 2015. doi: 10.1137/1.9781611974072.53.

J. Haas, MA. Olivares, and R. Palma-Behnke, “Grid-wide subdaily hydrologic alteration under massive wind power penetration in Chile,” Journal of Environmental Management, vol. 154, pp. 183--189, 2015, doi: 10.1016/j.jenvman.2015.02.017.

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.

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.

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.

S. U. Gerbersdorf et al., Anthropogenic Trace Compounds (ATCs) in aquatic habitats - research needs on sources, fate, detection and toxicity to ensure timely elimination strategies and risk management, vol. 79. 2015. doi: 10.1016/j.envint.2015.03.011.

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, no. 10, 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

M. Funk, S. Schneegass, M. Behringer, N. Henze, and A. Schmidt, An interactive curtain for media usage in the shower. 2015. doi: 10.1145/2757710.2757713.

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

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

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.

K. Eisenschmidt et al., “Direct Numerical Simulations for multiphase Flows: An overview of the multiphase code FS3D,” Applied Mathematics and Computation, 2015, doi: 10.1016/j.amc.2015.05.095.

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, no. 8, 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, no. 3, Art. no. 3, 2015, doi: 10.1111/cgf.12626.

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. 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, 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, 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, no. 15, Art. no. 15, 2015, doi: 10.1002/rnc.3219.

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, no. 8, 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, no. 4, 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. I. Allerhand and U. Shaked, “Soft Controller Switching with Guaranteed $H_ınfty$ Performance,” IFAC-PapersOnLine, vol. 48, no. 11, Art. no. 11, 2015, doi: 10.1016/j.ifacol.2015.09.296.

L. I. Allerhand, E. Gershon, and U. Shaked, “State-feedback Control of Stochastic Discrete-time Linear Switched Systems with Dwell Time,” in Eur. Control Conf., 2015, pp. 452–457. doi: 10.1109/ECC.2015.7330585.

L. I. Allerhand, “Stability of adaptive control in the presence of input disturbances and $H_ınfty$ performance,” IFAC-PapersOnLine, vol. 48, no. 14, Art. no. 14, 2015, doi: 10.1016/j.ifacol.2015.09.437.

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.

Y. Abdelrahman, M. Hassib, M. Marquez, M. Funk, and A. Schmidt, Implicit Engagement Detection for Interactive Museums Using Brain-Computer Interfaces. 2015. doi: 10.1145/2786567.2793709.

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, no. 9, 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, no. 1, Art. no. 1, 2014, doi: 10.1137/12086652X.

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.

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.

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.

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.

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/

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, “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.

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.

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

J. Veenman and C. W. Scherer, “A synthesis framework for robust gain-scheduling controllers,” Automatica, 2014, doi: 10.1016/j.automatica.2014.10.002.

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, no. 4, 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, no. 7, 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, no. 2, 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 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.

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, no. 2, Art. no. 2, 2014, doi: 10.1109/TCNS.2014.2316995.

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, no. 21, 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, no. 12, 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, no. 11, 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, no. 4, 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.

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

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

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, no. 3, 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, no. 30, Art. no. 30, 2014, doi: 10.1039/C4SM00686K.

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

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, no. 1, Art. no. 1, 2014, [Online]. Available: http://www.si-journal.org/index.php/JSI/article/view/189

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.

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, 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

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, no. 23, Art. no. 23, 2014, doi: 10.1074/jbc.M114.559468.

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

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.

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, no. 8, 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, no. 11, Art. no. 11, 2014, doi: 10.1016/j.automatica.2014.10.024.

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, no. 12, Art. no. 12, 2014, doi: 10.1016/j.automatica.2014.10.059.

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.

F. Mwalongo, M. Krone, G. K. Karch, M. Becher, G. Reina, and T. Ertl, “Visualization of Molecular Structures using State-of-the-Art Techniques in WebGL,” International Conference on 3D Web Technology (Web3D 14), pp. 133--141, 2014, doi: 10.1145/2628588.2628597.

K. Mosthaf, R. Helmig, and D. Or, “Modeling and analysis of evaporation processes from porous media on the REV scale,” Water Resources Research, vol. 50, pp. 1059--1079, 2014, doi: 10.1002/2013WR014442.

J. M. Montenbruck, H.-B. Dürr, C. Ebenbauer, and F. Allgöwer, “Extremum Seeking and Obstacle Avoidance on the Special Orthogonal Group,” Proc. 19th IFAC World Congress, pp. 8229--8234, 2014, doi: 10.3182/20140824-6-ZA-1003.01446.

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.

D. Molnar, P. Binkele, A. Mora, R. Mukherjee, B. Nestler, and S. Schmauder, “Molecular Dynamics virtual testing of thermally aged Fe-Cu microstructures obtained from multiscale simulations,” Computational Materials Science, vol. 81, pp. 466--470, 2014, doi: 10.1016/j.commatsci.2013.08.057.

E. Minina and A. Arnold, “Induction of entropic segregation: the first step is the hardest,” Soft Matter, vol. 10, no. 31, Art. no. 31, 2014, doi: 10.1039/C4SM00286E.

C. Miehe, S. Mauthe, and F. E. Hildebrand, “Variational gradient plasticity at finite strains. Part III: Local-global updates and regularization techniques in multiplicative plasticity for single crystals,” Computer Methods in Applied Mechanics and Engineering, vol. 268, pp. 735--762, 2014, doi: 10.1016/j.cma.2013.08.022.

C. Miehe and L. Schänzel, “Phase field modeling of fracture in rubbery polymers. Part I: Finite elasticity coupled with brittle failure,” Journal of the Mechanics and Physics of Solids, vol. 65, pp. 93--113, 2014, doi: 10.1016/j.jmps.2013.06.007.

C. Miehe, F. Welschinger, and F. Aldakheel, “Variational gradient plasticity at finite strains. Part II: Local-global updates and mixed finite elements for additive plasticity in the logarithmic strain space,” Computer Methods in Applied Mechanics and Engineering, vol. 268, pp. 704--734, 2014, doi: 10.1016/j.cma.2013.07.015.

C. Miehe, S. Mauthe, and H. Ulmer, “Formulation and numerical exploitation of mixed variational principles for coupled problems of Cahn-Hilliard-type and standard diffusion in elastic solids,” International Journal for Numerical Methods in Engineering, vol. 99, pp. 737--762, 2014, doi: 10.1002/nme.4700.

C. Miehe, F. E. Hildebrand, and L. Böger, “Mixed variational potentials and inherent symmetries of the Cahn-Hilliard theory of diffusive phase separation,” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 470, 2014, doi: 10.1098/rspa.2013.0641.

C. Miehe, “Variational gradient plasticity at finite strains. Part I: Mixed potentials for the evolution and update problems of gradient-extended dissipative solids,” Computer Methods in Applied Mechanics and Engineering, vol. 268, pp. 677--703, 2014, doi: 10.1016/j.cma.2013.03.014.

S. Micciulla et al., “Layer-by-layer formation of oligoelectrolyte multilayers: a combined experimental and computational study,” Soft Materials, vol. 12, p. 1, 2014, doi: 10.1080/1539445X.2014.930046.

I. Maier and B. Haasdonk, “A Dirichlet-Neumann reduced basis method for homogeneous domain decomposition problems,” Applied Numerical Mathematics, vol. 78, pp. 31--48, 2014, doi: 10.1016/j.apnum.2013.12.001.

M. Löhning, M. Reble, J. Hasenauer, S. Yu, and F. Allgöwer, “Model predictive control using reduced order models: Guaranteed stability for constrained linear systems,” Journal of Process Control, vol. 24, no. 11, Art. no. 11, 2014, doi: 10.1016/j.jprocont.2014.07.006.

C. Linder and A. Raina, “A homogenization approach for nonwoven materials based on fiber undulations and reorientation,” Journal of the Mechanics and Physics of Solids, vol. 65, pp. 12--34, 2014, doi: 10.1016/j.jmps.2013.12.011.

M. Köppel, I. Kröker, and C. Rohde, “Stochastic Modeling for Heterogeneous Two-Phase Flow,” Finite Volumes for Complex Applications VII Methods and Theoretical Aspects, vol. 77, pp. 353--361, 2014, doi: 10.1007/978-3-319-05684-5_34.

J. Kästner, “Theory and Simulation of Atom Tunneling in Chemical Reactions,” WIREs Comput. Mol. Sci., vol. 4, p. 158, 2014, doi: 10.1002/wcms.1165.

A. N. Krishnamoorthy, C. Holm, and J. Smiatek, “Local Water Dynamics around Antifreeze Protein Residues in the Presence of Osmolytes: The Importance of Hydroxyl and Disaccharide Groups,” The Journal of Physical Chemistry B, vol. 118, no. 40, Art. no. 40, 2014, doi: 10.1021/jp507062r.

K. Kratzer, J. T. Berryman, A. Taudt, J. Zeman, and A. Arnold, “The Flexible Rare Event Sampling Harness System (FRESHS),” Computer Physics Communications, vol. 185, no. 7, Art. no. 7, 2014, doi: 10.1016/j.cpc.2014.03.013.

A. Kramer, V. Stathopoulus, M. Girolami, and N. Radde, “MCMC_CLIB: An advanced MCMC sampling package for ode models with highly correlated parameters,” Bioinformatics, 2014, doi: 10.1093/bioinformatics/btu429.

A. Kramer, B. Calderhead, and N. Radde, “Hamiltonian Monte Carlo Methods for Efficient Parameter Estimation in Steady State Dynamical Systems,” BMC Bioinformatics, vol. 15, no. 1, Art. no. 1, 2014, doi: 10.1186/1471-2105-15-253.

H. Kosow and C. Leon, “Die Szenariotechnik als Methode der Experten- und Stakeholdereinbindung.,” In: Niederberger M, Wassermann S (Hrsg.): Methoden der Experten- und Stakeholdereinbindung in der sozialwissenschaftlichen Forschung., 2014, doi: 10.1007/978-3-658-01687-6_11.

J. Koch and W. Nowak, “A method for implementing Dirichlet and third-type boundary conditions in PTRW simulations,” Water Resources Research, vol. 50, no. 2, Art. no. 2, 2014, doi: 10.1002/2013WR013796.

D. Koch and W. Ehlers, “Modelling and simulation of heat exchange and transport in a geothermal plant,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 447--448, 2014, doi: 10.1002/pamm.201410211.

A. Kissinger, V. Noack, S. Knopf, D. Scheer, W. Konrad, and H. Class, “Characterization of reservoir conditions for CO2 storage using a dimensionless Gravitational Number applied to the North German Basin,” Sustainable Energy Technologies and Assessments, vol. 7, pp. 209--220, 2014, doi: 10.1016/j.seta.2014.06.003.

J. A. Kieser, M. G. Farland, H. Jack, M. Farella, Y. Wang, and O. Röhrle, “The role of oral soft tissues in swallowing function: what can tongue pressure tell us?,” Australian Dental Journal, vol. 59, pp. 155--161, 2014, doi: 10.1111/adj.12103.

M.-A. Keip and K. Bhattacharya, “A phase-field approach for the modeling of nematic liquid crystal elastomers,” PAMM, vol. 14, no. 1, Art. no. 1, 2014, doi: 10.1002/pamm.201410276.

M.-A. Keip, P. Steinmann, and J. Schröder, “Computer Methods in Applied Mechanics and Engineering,” Computer Methods in Applied Mechanics and Engineering, vol. 278, pp. 62--79, 2014, doi: 10.1016/j.cma.2014.04.020.

G. K. Karch, F. Sadlo, D. Weiskopf, and T. Ertl, “Streamline-Based Concepts for Space-Time Analysis of 2D Time-Dependent Flow,” Proceedings of International Symposium on Flow Visualization (ISFV16), 2014, [Online]. Available: http://www.isfv.org/

N. Karajan, D. Otto, S. Oladyshkin, and W. Ehlers, “Application of the Polynomial Chaos Expansion to Approximate the Homogenised Response of the Intervertebral Disc,” Biomechanics and Modeling in Mechanobiology, vol. 13, pp. 1065--1080, 2014, doi: 10.1007/s10237-014-0555-y.

G. Inci, A. Arnold, A. Kronenburg, and R. Weeber, “Modeling Nanoparticle Agglomeration using Local Interactions,” Aerosol Science and Technology, vol. 48, p. 842, 2014, doi: 10.1080/02786826.2014.932942.

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.

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.

K. Häberle and W. Ehlers, “Constitutive relation for the mass transfer during a gas-liquid phase transition in porous media,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 445--446, 2014, doi: 10.1002/pamm.201410210.

P. Hupp, R. Jacob, M. Heene, D. Pflüger, and M. Hegland, “Global Communication Schemes for the Sparse Grid Combination Technique,” Advances in Parallel Computing, vol. 25, pp. 564--573, 2014, doi: 10.3233/978-1-61499-381-0-564.

M. Hlawatsch, M. Burch, and D. Weiskopf, “Visual Adjacency Lists for Dynamic Graphs,” IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 11, Art. no. 11, 2014, doi: 10.1109/TVCG.2014.2322594.

M. Hlawatsch, F. Sadlo, H. Jang, and D. Weiskopf, “Pathline Glyphs,” Computer Graphics Forum, vol. 33, no. 2, Art. no. 2, 2014, doi: 10.1111/cgf.12335.

F. Hindenlang, G. Gassner, and C.-D. Munz, “Improving the accuracy of discontinuous Galerkin schemes at boundary layers,” International Journal of Numerical Methods in Fluids, vol. 75, pp. 385--402, 2014, doi: 10.1002/fld.3898.

O. A. Hickey, C. Holm, and J. Smiatek, “Lattice-Boltzmann simulations of the electrophoretic stretching of polyelectrolytes: The importance of hydrodynamic interactions,” The Journal of Chemical Physics, vol. 140, no. 16, Art. no. 16, 2014, doi: 10.1063/1.4872366.

T. Heidlauf and O. Röhrle, “A multiscale chemo-electro-mechanical skeletal muscle model to analyze muscle contraction and force generation for different muscle fiber arrangements,” Frontiers in Physiology, vol. 5, no. 498, Art. no. 498, 2014, doi: 10.3389/fphys.2014.00498.

Y. Heider, O. Avci, B. Markert, and W. Ehlers, “The dynamic response of fluid-saturated porous materials with application to seismically induced soil liquefaction,” Soil Dynamics and Earthquake Engineering, vol. 63, pp. 120--137, 2014, doi: 10.1016/j.soildyn.2014.03.017.

M. Heene, C. Kowitz, and D. Pflüger, “Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique,” Advances in Parallel Computing, vol. 25, pp. 574--583, 2014, doi: 10.3233/978-1-61499-381-0-574.

F. Haupt, M. Fischer, D. Karastoyanova, F. Leymann, and K. Vukojevic-Haupt, “Service Composition for REST,” Proceedings of the 18th IEEE International EDOC Conference (EDOC 2014), 2014, doi: 10.1109/EDOC.2014.24.

H. Harbrecht, W. L. Wendland, and N. Zorii, “Riesz minimal energy problems on $C^k-1,1$-manifolds,” Mathematische Nachrichten, vol. 287, pp. 48--69, 2014, doi: 10.1002/mana.201200053.

N. Hansen, F. Heller, N. Schmid, and W. F. van Gunsteren, “Time-averaged order parameter restraints in molecular dynamics simulations,” Journal of Biomolecular NMR, vol. 60, pp. 169--187, 2014, doi: 10.1007/s10858-014-9866-7.

M. Hahn and D. Karastoyanova, “Configurable and Collaborative Scientific Workflows,” Workshop on Simulation Technology: Systems for Data Intensive Simulations (SimTech(at)GI) in Conjunction with INFORMATIK 2014, pp. 125--136, 2014, [Online]. Available: https://www.gi.de/fileadmin/redaktion/2014_LNI/lni-p-232.pdf

M. Hahn, S. Gómez Su00e1ez, V. Andrikopoulos, D. Karastoyanova, and F. Leymann, “Development and Evaluation of a Multi-tenant Service Middleware PaaS Solution,” Proceedings of the 7th International Conference on Utility and Cloud Computing (UCC), pp. 278--287, 2014, doi: 10.1109/UCC.2014.37.

M. Hahn, S. Gómez Su00e1ez, V. Andrikopoulos, D. Karastoyanova, and F. Leymann, “SCE^MT: A Multi-tenant Service Composition Engine,” Proceedings of the 7th International Conference on Service-Oriented Computing and Applications (SOCA), pp. 89--96, 2014, doi: 10.1109/SOCA.2014.9.

L. Grüne et al., “Distributed and Networked Model Predictive Control,” Control Theory of Digitally Networked Dynamic Systems, pp. 111--167, 2014, doi: 10.1007/978-3-319-01131-8_4.

M. Greis, F. Alt, N. Henze, and N. Memarovic, “I can wait a minute: uncovering the optimal delay time for pre-moderated user-generated content on public displays,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2014, doi: 10.1145/2556288.2557186.

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.

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.

J. Fuhrmann, M. Ohlberger, and C. Rohde (Eds, “Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems,” FVCA 7, vol. 77/78, 2014, doi: 10.1007/978-3-319-05591-6.

S. Frey, F. Sadlo, K.-L. Ma, and T. Ertl, “Interactive Progressive Visualization with Space-Time Error Control,” IEEE Transactions on Visualization & Computer Graphics, 2014, doi: 10.1109/TVCG.2014.2346319.

A. Fischer and P. Eberhard, “Controlling vibrations of a cutting process using predictive control,” Computational Mechanics, vol. 54, no. 1, Art. no. 1, 2014, doi: 10.1007/s00466-014-1014-4.

O. Fernandes, S. Frey, F. Sadlo, and T. Ertl, “Space-Time Volumetric Depth Images for In-Situ Visualization,” Large Data Analysis and Visualization (LDAV), 2014 IEEE 4th Symposium on, pp. 59--65, 2014, doi: 10.1109/LDAV.2014.7013205.

C. Feller and C. Ebenbauer, “Barrier function based linear model predictive control with polytopic terminal sets,” Conference on Decision and Control, pp. 6683--6688, 2014, [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7040438&tag=1

C. Feller and C. Ebenbauer, “Continuous-time linear MPC algorithms based on relaxed logarithmic barrier functions,” IFAC Proceedings Volumes, vol. 47, no. 3, Art. no. 3, 2014, doi: 10.3182/20140824-6-ZA-1003.01022.

R. Enzenhöfer, T. Bunk, and W. Nowak, “Nine steps to risk-informed wellhead protection and management: A case study,” Ground Water, vol. 52, pp. 161--174, 2014, doi: 10.1111/gwat.12161.

P. Engel, A. Viorel, and C. Rohde, “A Low-Order Approximation for Viscous-Capillary Phase Transition Dynamics,” Portugaliae Mathematica, vol. 70, pp. 319--344, 2014, doi: 10.4171/PM/1937.

A. Elsheikh, S. Oladyshkin, W. Nowak, and M. Christie, “Probability of CO2 Leakage Using Rare Event Simulation,” ECMOR XIV-14th, vol. We, p. B25, 2014, doi: 10.3997/2214-4609.20141876.

W. Ehlers, M. Schenke, and B. Markert, “Liquefaction phenomena in fluid-saturated soil based on the Theory of Porous Media and the framework of elasto-plasticity,” Journal of Applied Mathematics and Mechanics, vol. 94, pp. 668--677, 2014, doi: 10.1002/zamm.201200220.

W. Ehlers, R. Helmig, and C. Rohde, “Editorial: Deformation and transport phenomena in porous media,” ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, vol. 94, p. 559, 2014, doi: 10.1002/zamm.201400559.

W. Ehlers, “Porous Media in the Light of History,” The History of Theoretical, Material and Computational Mechanics, pp. 211--227, 2014, doi: 10.1007/978-3-642-39905-3_13.

P. Eberhard et al., “Particles-bridging the Gap between Solids and Fluids,” Procedia IUTAM, vol. 10, pp. 161--179, 2014, doi: 10.1016/j.piutam.2014.01.016.

C. Dibak and B. Koldehofe, “Towards Quality-aware Simulations on Mobile Devices,” Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik e.V. (GI) (Informatik 2014), 2014, [Online]. Available: ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2014-54/INPROC-2014-54.pdf

A. M. Cooper and J. Kästner, “Averaging techniques for reaction barriers in QM/MM simulations,” ChemPhysChem, vol. 15, p. 3264, 2014, doi: 10.1002/cphc.201402382.

C. Chalons, P. Engel, and C. Rohde, “A Conservative and Convergent Scheme for Undercompressive Shock Waves,” SIAM J. Numer. Anal., vol. 52, pp. 554--579, 2014, doi: 10.1137/120897821.

M. Bürger, G. Notarstefano, and F. Allgöwer, “A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization.,” IEEE Transactions on Automatic Control, vol. 59, no. 2, Art. no. 2, 2014, doi: 10.1109/TAC.2013.2281883.

O. Burkovska, B. Haasdonk, J. Salomon, and B. Wohlmuth, “Reduced basis methods for pricing options with the Black-Scholes and Heston model,” SIAM Journal on Financial Mathematics (SIFIN), 2014, doi: 10.1137/140981216.

M. Burkhardt, R. Seifried, and P. Eber, “Aspects of Symbolic Formulations in Flexible Multibody Systems,” Journal of Computational and Nonlinear Dynamics, vol. 9, no. 4, Art. no. 4, 2014, doi: 10.1115/1.4025897.

F. D. Brunner, M. Lazar, and F. Allgöwer, “Computation of Piecewise Affine Terminal Cost Functions for Model Predictive Control,” Proceedings of the 17th international conference on Hybrid systems: computation and control, pp. 1--10, 2014, doi: 10.1145/2562059.2562108.

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.

F. D. Brunner and F. Allgöwer, “Approximate Predictive Control of Polytopic Systems,” Proceedings of the 19th IFAC World Congress, pp. 11060--11066, 2014, doi: 10.3182/20140824-6-ZA-1003.00546.

K. Breitsprecher, P. Kosovan, and C. Holm, “Coarse-grained simulations of an ionic liquid-based capacitor: II. Asymmetry in ion shape and charge localization,” Journal of Physics: Condensed Matter, vol. 26, no. 28, Art. no. 28, 2014, doi: 10.1088/0953-8984/26/28/284114.

K. Breitsprecher, P. Kosovan, and C. Holm, “Coarse-grained simulations of an ionic liquid-based capacitor: I. Density, ion size, and valency effects,” Journal of Physics: Condensed Matter, vol. 26, no. 28, Art. no. 28, 2014, doi: 10.1088/0953-8984/26/28/284108.

C. Braun, S. Halder, and H.-J. Wunderlich, “A-ABFT: Autonomous Algorithm-Based Fault Tolerance for Matrix Multiplications on Graphics Processing Units,” Proceedings of The 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2014), pp. 443--454, 2014, doi: 10.1109/DSN.2014.48.

M. U. Bohner, J. Zeman, J. Smiatek, A. Arnold, and J. Kästner, “Nudged-elastic band used to find reaction coordinates based on the free energy,” The Journal of Chemical Physics, vol. 140, no. 7, Art. no. 7, 2014, doi: 10.1063/1.4865220.

M. Boger, F. Jaegele, R. Klein, and C.-D. Munz, “Coupling of compressible and incompressible flow regions using the multiple pressure variables approach,” Mathematical Methods in the Applied Sciences, 2014, doi: 10.1002/mma.3081.

M. Boger, F. Jaegele, B. Weigand, and C.-D. Munz, “A pressure-based treatment for the direct numerical simulation of compressible multi-phase flow using multiple pressure variables,” Computers & Fluids, vol. 96, pp. 338--349, 2014, doi: 10.1016/j.compfluid.2014.01.029.

C. Bleiler et al., “Multiphasic Modelling of the Vertebral Bone for Cement-Injection Studies,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 117--118, 2014, doi: 10.1002/pamm.201410046.

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, “Increasing the Efficiency and Responsiveness of Mobile Applications with Preemptable Code Offloading,” Proceedings of the 3rd IEEE International Conference on Mobile Services: MS14, 2014, doi: 10.1109/MobServ.2014.20.

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.

A. Benzing, B. Koldehofe, and K. Rothermel, “Bandwidth-Minimized Distribution of Measurements in Global Sensor Networks,” Proceedings of the 14th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS 2014), 2014, doi: 10.1007/978-3-662-43352-2_13.

SP. Benson and J. Pleiss, “Molecular dynamics simulations of self-emulsifying drug delivery systems (SEDDS): influence of excipients on droplet nanostructure and drug localization,” Langmuir, vol. 30, pp. 8471--8480, 2014, doi: 10.1021/la501143z.

SP. Benson and J. Pleiss, “Solvent flux method (SFM): a case study of water access to Candida antarctica lipase B,” J Chem Theory Comput, vol. 11, pp. 5206--5214, 2014, doi: 10.1021/ct500791e.

A. Beck et al., “High-order discontinuous Galerkin spectral element methods for transitional and turbulent flow simulations,” International Journal of Numerical Methods in Fluids, vol. 76, pp. 522--548, 2014, doi: 10.1002/fld.3943.

F. Bayer and F. Allgöwer, “Robust Economic Model Predictive Control with Linear Average Constraints,” Proceedings of the 52nd IEEE Conference on Decision and Control, pp. 6707--6712, 2014, doi: 10.1109/CDC.2014.7040442.

F. Bayer, M. A. Müller, and F. Allgöwer, “Tube-based Robust Economic Model Predictive Control,” Journal of Process Control, vol. 24, no. 8, Art. no. 8, 2014, doi: 10.1016/j.jprocont.2014.06.006.

F. Bayer, M. A. Müller, and F. Allgöwer, “Set-based Disturbance Attenuation in Economic Model Predictive Control,” 19th IFAC World Congress, pp. 1898--1903, 2014, doi: 10.3182/20140824-6-ZA-1003.00951.

A. Barth and S. Moreno-Bromberg, “Optimal risk and liquidity management with costly refinancing opportunities,” Insurance Math. Econom., vol. 57, pp. 31--45, 2014, doi: 10.1016/j.insmatheco.2014.05.001.

A. Barth and F. E. Benth, “The forward dynamics in energy markets - infinite-dimensional modelling and simulation,” Stochastics, vol. 86, no. 6, Art. no. 6, 2014, doi: 10.1080/17442508.2014.895359.

P. Bader, S. Schneegass, N. Henze, V. Schwind, and K. Wolf, “A mobile see-through 3D display with front- and back-touch,” Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, 2014, doi: 10.1145/2639189.2670276.

K. Baber, B. Flemisch, and R. Helmig, “Modelling drop dynamics at the interface between free and porous-medium flow using the mortar method,” International Journal of Heat and Mass Transfer, 2014, [Online]. Available: http://www.hydrosys.uni-stuttgart.de/institut/hydrosys/publikationen/paper/2014/SimTech_Preprint_Baber2014.pdf

V. Andrikopoulos, S. Gómez Saez, D. Karastoyanova, and A. Weiß, “Collaborative, Dynamic & Complex Systems: Modeling, Provision & Execution,” Proceedings of the Fourth International Conference on Cloud Computing and Service Science, pp. 276--286, 2014, doi: 10.5220/0004852402760286.

S. Alvarez Barcia, J. R. Flores, and J. Kästner, “Tunneling Above the Crossover Temperature,” J. Phys. Chem. A, vol. 118, p. 78, 2014, doi: 10.1021/jp411189m.

D. Zäh and C. Miehe, “Computational homogenization in dissipative electro-mechanics of functional materials,” Computer Methods in Applied Mechanics and Engineering, vol. 267, pp. 487--510, 2013, doi: 10.1016/j.cma.2013.09.012.

S. Zinatbakhsh and W. Ehlers, “Coupled Multi-field and Multi-rate Problems - Numerical Solution and Stability Analysis,” Proceedings in Applied Mathematics and Mechanics, vol. 13, pp. 241--242, 2013, doi: 10.1002/pamm.201310116.

C. Zhu, M. Ertl, and B. Weigand, “Numerical Investigation on the Primary Breakup of an Inelastic Non-Newtonian Liquid Jet with Inflow Turbulence,” Physics of Fluids, vol. 25, no. 8, Art. no. 8, 2013, doi: 10.1063/1.4818305.

D. Zelazo, M. Bürger, and F. Allgöwer, “A Finite-Time Dual Method for Negotiation between Dynamical Systems,” SIAM Journal of Control and Optimization, vol. 51, pp. 172--194, 2013, doi: 10.1137/100819175.

H.-J. Wunderlich, C. Braun, and S. Halder, “Efficacy and Efficiency of Algorithm-Based Fault-Tolerance on GPUs,” IEEE 19th International  On-Line Testing Symposium (IOLTS), pp. 240--243, 2013, doi: 10.1109/IOLTS.2013.6604090.

J. Wu, J. Qin, C. Yu, and F. Allgöwer, “Leaderless synchronization of linear multi-agent systems under directed switching topologies: An invariance approach,” Proceedings of the 52nd IEEE Conference on Decision and Control, pp. 6043--6048, 2013, doi: 10.1109/CDC.2013.6760844.

M. Wolff, B. Flemisch, and R. Helmig, “An adaptive multiscale approach for modeling two-phase flow in porous media including capillary pressure,” Water Resources Research, vol. 49, pp. 8139--8159, 2013, doi: 10.1002/2013WR013800.

T. Woehling, A. Geiges, W. Nowak, and S. Gayler, “Towards optimizing experiments for maximum-confidence model selection between different soil-plant models,” Procedia Environmental Sciences, vol. 19, pp. 514--523, 2013, doi: 10.1016/j.proenv.2013.06.058.

D. Wirtz and B. Haasdonk, “A Vectorial Kernel Orthogonal Greedy Algorithm,” Dolomites Research Notes on Approximation, vol. 6, pp. 83--100, 2013, [Online]. Available: http://www.emis.ams.org/journals/DRNA/papers/2013/WirtzHaasdonk.2013.VKO.pdf

P. Wieland, J. Wu, and F. Allgöwer, “On synchronous steady states and internal models of diffusively coupled systems,” IEEE Transactions on Automatic Control, vol. 58, no. 10, Art. no. 10, 2013, doi: 10.1109/TAC.2013.2266868.

N. Wengert, M. Nefzi, P. Eberhard, and B. Geuppert, “Dynamics in Lithographic Projection Objectives,” Multibody System Dynamics, vol. 30, pp. 233--245, 2013, doi: 10.1007/s11044-013-9344-0.

N. Wengert and P. Eberhard, “Vibration Modification in an Opto-Dynamical Test Setup for Suppressing Aberrations,” Proceedings of the 11th ICOVP, Lisbon, Portugal, 2013, [Online]. Available: http://www.icovp.com/components/com_breezingforms/uploads/405_paper0.pdf

W. Weimer-Jehle, S. Prehofer, and S. Vögele, “Kontextszenarien - Ein Konzept zur Behandlung von Kontextunsicherheit und Kontextkomplexität bei der Entwicklung von Energieszenarien,” Technikfolgenabschätzung - Theorie und Praxis, vol. 22, no. 2, Art. no. 2, 2013, [Online]. Available: http://www.tatup-journal.de/tatup132_weua13a.php

R. Weeber, M. Klinkigt, S. Kantorovich, and C. Holm, “Microstructure and magnetic properties of magnetic fluids consisting of shifted dipole particles under the influence of an external,” Journal of chemical physics, vol. 21, p. 214901, 2013, doi: 10.1063/1.4832239.

L. Walter, P. Binning, and H. Class, “Predicting salt intrusion into freshwater aquifers resulting from CO2 injection - A study on the influence of conservative assumptions,” Advances in Water Resources, vol. 62, pp. 543--554, 2013, doi: 10.1016/j.advwatres.2013.09.017.

T. Waizenegger et al., “Policy4TOSCA: A Policy-Aware Cloud Service Provisioning Approach to Enable Secure Cloud Computing,” Proceedings of the On the Move to Meaningful Internet Systems (OTM) Conferences, 2013, doi: 10.1007/978-3-642-41030-7_26.

A. Wagner et al., “Porous-media simulation of bone-cement spreading during vertebroplasty,” Proceedings in Applied Mathematics and Mechanics, vol. 13, pp. 67--68, 2013, doi: 10.1002/pamm.201310029.

K. Vukojevic-Haupt, D. Karastoyanova, and F. Leymann, “On-demand Provisioning of Infrastructure, Middleware and Services for Simulation Workflows,” Proceedings of the 6th IEEE International Conference on Service Oriented Computing & Applications (SOCA 2013), 2013, doi: 10.1109/SOCA.2013.21.

C. Vehlow et al., “iVUN: Interactive Visualization of Uncertain Biochemical Reaction Networks,” BMC Bioinformatics, vol. 14, p. Suppl 19:S2, 2013, doi: 10.1186/1471-2105-14-S19-S2.

J. Veenman and C. W. Scherer, “Stability analysis with integral Quadratic constraints: A dissipativity based proof,” in 52nd IEEE Conf. Decision and Control, 2013, pp. 3770–3775. doi: 10.1109/CDC.2013.6760464.

C. Thomaseth, P. Weber, T. Hamm, K. Kashima, and N. Radde, “Modeling sphingomyelin synthase 1 driven reaction at the Golgi apparatus can explain data by inclusion of a positive feedback mechanism,” Journal of Theoretical Biology, vol. 337, pp. 174--180, 2013, doi: 10.1016/j.jtbi.2013.08.022.

M. A. Tariq, B. Koldehofe, and K. Rothermel, “Efficient content-based routing with network topology inference,” Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems (DEBS), 2013, doi: 10.1145/2488222.2488262.

Q. Tang and P. Eberhard, “Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics,” Advances in Mechanical Engineering, vol. 5, no. 284782, Art. no. 284782, 2013, doi: 10.1155/2013/284782.

Q. Tang and P. Eberhard, “Mechanical PSO Aided by Extremum Seeking for Swarm Robots Cooperative Search,” Advances in Swarm Intelligence, vol. 7928, pp. 64--71, 2013, doi: 10.1007/978-3-642-38703-6_7.

C. Surulescu and N. Surulescu, “Some classes of stochastic differential equations as an alternative modeling approach to biomedical problems,” Lecture Notes in Mathematics, Nonautonomous Dynamical Systems in the Life Sciences, vol. 2102, pp. 269--307, 2013, doi: 10.1007/978-3-319-03080-7.

Z. Sun, A. Dadalau, and A. Verl, “Component oriented and automatic generation of FE models for parallel kinematics,” Prod. Eng. Res. Devel., vol. 7, pp. 233--237, 2013, doi: 10.1007/s11740-012-0440-4.

S. Strauch, V. Andrikopoulos, T. Bachmann, D. Karastoyanova, S. Passow, and K. Vukojevic-Haupt, “Decision Support for the Migration of the Application Database Layer to the Cloud,” Proceedings of the 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom13), 2013, doi: 10.1109/CloudCom.2013.90.

M. Sprenger, S. Schmitt, and O. Röhrle, “Towards modelling the dynamics of a 3D continuum-mechanical two-muscle musculoskeletal system,” PAMM, vol. 13, pp. 65--66, 2013, doi: 10.1002/pamm.201310028.

M. Sonntag and D. Karastoyanova, “Model-as-you-go: An Approach for an Advanced Infrastructure for Scientific Workflows,” Journal of Grid Computing, vol. 11, pp. 553--583, 2013, doi: 10.1007/s10723-013-9268-1.

S. Silcher, J. Königsberger, P. Reimann, and B. Mitschang, “Cooperative service registries for the service-based Product Lifecycle Management architecture,” Proceedings of the 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013, doi: 10.1109/CSCWD.2013.6581003.

G. S. Seyboth and F. Allgöwer, “Clock Synchronization over Directed Graphs,” Proc. 52nd IEEE Conference on Decision and Control (CDC), pp. 6105--6111, 2013, doi: 10.1109/CDC.2013.6760854.

R. Seifried and W. Blajer, “Analysis of servo-constraint problems for underactuated multibody systems,” Mechanical Sciences, vol. 4, pp. 113--129, 2013, doi: 10.5194/ms-4-113-2013.

M. Sega, S. S. Kantorovich, A. Arnold, and C. Holm, On the Calculation of the Dielectric Properties of Liquid Ionic Systems. Springer, 2013. doi: 10.1007/978-94-007-5012-8_8.

S. Schneegass, B. Pfleging, N. Broy, F. Heinrich, and A. Schmidt, “A data set of real world driving to assess driver workload,” Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2013, doi: 10.1145/2516540.2516561.

S. Schmitt, M. Gu?nther, T. Rupp, A. Bayer, and D. Häufle, Theoretical Hill-Type Muscle and Stability: Numerical Model and Application. 2013. doi: 10.1155/2013/570878.

G. S. Schmidt, C. Ebenbauer, and F. Allgower, “Output regulation for attitude control: A global approach,” American Control Conference, pp. 5251--5256, 2013, doi: 10.1109/ACC.2013.6580656.

G. S. Schmidt, S. Michalowsky, C. Ebenbauer, and F. Allgöwer, “Global Output Regulation for the Rotational Dynamics of a Rigid Body / Globale Ausgangsregelung für die Drehbewegung eines Starrkörpersystems,” at - Automatisierungstechnik, vol. 61, no. 8, Art. no. 8, 2013, doi: 10.1524/auto.2013.1013.

C. W. Scherer and I. E. Köse, “From transfer matrices to realizations: Convergence properties and parametrization of robustness analysis conditions,” Syst. Control Lett., vol. 62, no. 8, Art. no. 8, 2013, doi: 10.1016/j.sysconle.2013.04.001.

C. W. Scherer, “Structured $H_ınfty$-Optimal Control for Nested Interconnections: A State-Space Solution,” Syst. Control Lett., vol. 62, no. 12, Art. no. 12, 2013, doi: 10.1016/j.sysconle.2013.09.001.

C. W. Scherer, “Gain-scheduled synthesis with dynamic stable strictly positive real multipliers: A complete solution,” ECC, 2013, [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6669184&tag=1

C. W. Scherer, “Structured H∞-Optimal Control for Nested Interconnections: A State-Space Solution,” Syst. Contr. Letters, vol. 62, pp. 1105--1113, 2013, doi: 10.1016/j.sysconle.2013.09.001.

C. W. Scherer, “Structured $H_ınfty$-Optimal Control for Nested Interconnections: A State-Space Solution,” Syst. Control Lett., vol. 62, no. 12, Art. no. 12, 2013, doi: 10.1016/j.sysconle.2013.09.001.

C. W. Scherer, Gain-scheduled synthesis with dynamic generalized strictly positive real multipliers: A complete solution. 52nd IEEE Conf. Decision and Control, Firenze, 2013. doi: 10.1109/CDC.2013.6760520.

C. W. Scherer and I. E. Koese, “From transfer matrices to realizations: Convergence properties and parametrization of robustness analysis conditions,” Syst. Contr. Letters, vol. 62, pp. 632--642, 2013, doi: 10.1016/j.sysconle.2013.04.001.

M. Schenke, B. Markert, and W. Ehlers, “Liquefaction in fluid-saturated soils,” Proceedings in Applied Mathematics and Mechanics, vol. 13, pp. 145--146, 2013, doi: 10.1002/pamm.201310068.

D. Scheer, “Risk governance and emerging technologies: learning from case study integration,” Journal of Risk Research, vol. 16/3–4, pp. 355--368, 2013, doi: 10.1080/13669877.2012.729519.

D. Scheer, Computersimulationen in politischen Entscheidungsprozessen: Zur Politikrelevanz von Simulationswissen am Beispiel der CO2-Speicherung. Springer SV, Wiesbaden, 2013. doi: 10.1007/978-3-658-03394-1.

V. Schauer and C. Linder, “All-electron Kohn-Sham density functional theory on hierarchic finite element spaces,” Journal of Computational Physics, vol. 250, pp. 644--664, 2013, doi: 10.1016/j.jcp.2013.04.020.

O. Röhrle, M. Sprenger, E. Ramasamy, and T. Heidlauf, “Multiscale Skeletal Muscle Modeling: From Cellular Level to a Multi-segment Skeletal Muscle Model of the Upper Limb,” Computer Models in Biomechanics, pp. 103--116, 2013, doi: 10.1007/978-94-007-5464-5_8.

N. Roth et al., “Collision of Droplets: An Experimental, Numerical and Analytical Approach,” Proceedings of the ILASS - Europe 2013, 2013, [Online]. Available: http://ilasseurope.org/events/25th-ilass-europe/

C. Rohde and F. Xie, “Decay Rates to Viscous Contact Waves for a 1D Compressible Radiation Hydrodynamics Model,” Mathematical Models and Methods in Applied Sciences, vol. 23, no. 3, Art. no. 3, 2013, doi: 10.1142/S0218202512500522.

T. Ricken, U. Dahmen, O. Dirsch, and D. Q. Werner, “A Biphasic 3D-FEM model for the remodeling of microcirculation in liver lobes,” in Computer Models in Biomechanics, Springer, 2013, pp. 277--292.

P. Reimann and H. Schwarz, “Datenmanagementpatterns in Simulationsworkflows,” 15. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2013), pp. 279--293, 2013, [Online]. Available: http://www.btw-2013.de/proceedings/Datenmanagementpatterns%20in%20Simulationsworkflows.pdf

M. Reble, E. Quevedo, and F. Allgöwer, “Control over Erasure Channels: Stochastic Stability and Performance of Packetized Unconstrained Model Predictive Control,” International Journal of Robust and Nonlinear Control, pp. 1151--1167, 2013, doi: 10.1002/rnc.2853.

P. Rauschenberger et al., “Comparative assessment of Volume-of-Fluid and Level-Set methods by relevance to dendritic ice growth in supercooled water,” Journal of Computers and Fluids, vol. 79, pp. 44--52, 2013, doi: 10.1016/j.compfluid.2013.03.010.

D. Philipp, J. Stachowiak, F. Dürr, and K. Rothermel, “Model-Driven Public Sensing in Sparse Networks,” Proceedings of the 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2013, doi: 10.1007/978-3-319-11569-6_2.

D. Philipp, J. Stachowiak, P. Alt, F. Dürr, and K. Rothermel, “DrOPS: Model-Driven Optimization for Public Sensing Systems,” 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom 2013), 2013, doi: 10.1109/PerCom.2013.6526731.

B. Pfleging, S. Schneegass, and A. Schmidt, “Exploring User Expectations for Context and Road Video Sharing While Calling and Driving,” Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 132--139, 2013, doi: 10.1145/2516540.2516547.

B. Pfleging, N. Henze, A. Schmidt, D. Rau, and B. Reitschuster, “Influence of subliminal cueing on visual search tasks,” CHI 13 Extended Abstracts on Human Factors in Computing Systems, 2013, doi: 10.1145/2468356.2468583.

B. Ottenwälder, B. Koldehofe, K. Rothermel, and U. Ramachandran, “MigCEP: Operator Migration for Mobility Driven Distributed Complex Event Processing,” Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems (DEBS), 2013, doi: 10.1145/2488222.2488265.

S. Oladyshkin, H. Class, and W. Nowak, “Bayesian updating via Bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in geological formations,” Computational Geosciences, vol. 17, no. 4, Art. no. 4, 2013, doi: 10.1007/s10596-013-9350-6.

S. Oladyshkin, P. Schroeder, H. Class, and W. Nowak, “Chaos expansion based Bootstrap filter to calibrate CO2 injection models,” Energy Procedia, vol. 40, pp. 398--407, 2013, doi: 10.1016/j.egypro.2013.08.046.

W. Nowak and A. Litvinenko, “Kriging and spatial design accelerated by orders of magnitude: combining low-rank covariance approximations with FFT-techniques,” Mathematical Geosciences, vol. 45, no. 4, Art. no. 4, 2013, doi: 10.1007/s11004-013-9453-6.

M. A. Müller and F. Allgöwer, “Economic model predictive control with self-tuning terminal cost,” European Journal of Control, vol. 19, pp. 408--416, 2013, doi: 10.1016/j.ejcon.2013.05.019.

M. A. Müller, D. Angeli, and F. Allgöwer, “Economic model predictive control with self-tuning terminal weight,” Proceedings of the European Control Conference (ECC), pp. 2044--2049, 2013, [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6669271

M. A. Müller, D. Angli, and F. Allgöwer, “On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steady-state operation,” Proceedings of the American Control Conference (ACC), pp. 3147--3152, 2013, doi: 10.1109/ACC.2013.6580314.

M. A. Müller, D. Liberzon, and F. Allgöwer, “Norm-controllability, or how a nonlinear system responds to large inputs,” Proceedings of the 9th IFAC Symposium on Nonlinear Control Systems (NOLCOS), pp. 104--109, 2013, doi: 10.3182/20130904-3-FR-2041.00052.

M. A. Müller, D. Angeli, and F. Allgöwer, “Economic model predictive control with transient average constraints,” Proceedings of the 52nd IEEE Conference on Decision and Control (CDC), pp. 5119--5124, 2013, doi: 10.1109/CDC.2013.6760693.

M. Mottahedi, S. Röck, and A. Verl, “Simulation-Based Parameter Identification for Online Condition Monitoring of Spindle Nut Drive,” Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives, pp. 193--205, 2013, doi: 10.1007/978-3-642-34471-8_16.

J. M. Montenbruck, M. Bürger, and F. Allgöwer, “Practical Cluster Synchronization of Heterogeneous Systems on Graphs with Acyclic Topology,” Proc. 52nd IEEE Conference on Decision and Control, pp. 692--697, 2013, doi: 10.1109/CDC.2013.6759962.