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- Publications of EXC 310 by year
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Publications of EXC 2075 by project network
- PN 1
Data-Integrated Models and Methods for Multiphase Fluid Dynamics - PN 2
In Silico Models of Coupled Biological Systems - PN 3
Data-Integrated Design of Functional Matter Across Scales - PN 4
Data-Integrated Control System Design with Guarantees - PN 5
n-the-fly Model Modification, Error Control, and Simulation Adaptivity - PN 6
Machine Learning for Simulation - PN 7
Adaptive Simulation and Interaction
Publications of EXC 2075 by year
2024
- S. M. Seyedpour, M. Azhdari, L. Lambers, T. Ricken, and G. Rezazadeh, “One-dimensional thermomechanical bio-heating analysis of viscoelastic tissue to laser radiation shapes,” International Journal of Heat and Mass Transfer, vol. 218, p. 124747, 2024, doi: https://doi.org/10.1016/j.ijheatmasstransfer.2023.124747.
- J. Potyka and K. Schulte, “A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions,” International Journal of Multiphase Flow, vol. 170, p. 104654, Jan. 2024, doi: 10.1016/j.ijmultiphaseflow.2023.104654.
2023 (submitted)
- F. Mohammadi et al., “Uncertainty-aware Validation Benchmarks for Coupling Free Flow and Porous-Medium Flow,” Water Resources Research.
2023
- I. Ðula, T. Berberena, K. Kepliner, and M. Wirzberger, “Hooked on artificial agents: a systems thinking perspective,” Frontiers in Behavioral Economics, vol. 2, p. 1223281, 2023, doi: 10.3389/frbhe.2023.1223281.
- L. Zhuang, S. M. Hassanizadeh, and C.-Z. Qin, “Experimental determination of in-plane permeability of nonwoven thin fibrous materials,” Textile Research Journal, vol. 93, no. 19–20, Art. no. 19–20, Jun. 2023, doi: 10.1177/00405175231181089.
- L. Zhang, W. Nowak, S. Oladyshkin, Y. Wang, and J. Cai, “Opportunities and challenges in $CO_2$ geologic utilization and storage,” Advances in Geo-Energy Research, vol. 8, no. 3, Art. no. 3, Jul. 2023.
- V. Zaverkin, D. Holzmüller, L. Bonfirraro, and J. Kästner, “Transfer learning for chemically accurate interatomic neural network potentials,” Phys. Chem. Chem. Phys., vol. 25, no. 7, Art. no. 7, 2023, doi: 10.1039/D2CP05793J.
- X. Yu, “DC Limb Motion Guidance in Extended Reality,” in 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), in 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). Mar. 2023, pp. 967–968. doi: 10.1109/VRW58643.2023.00326.
- J. Yang, S. Kondrat, C. Lian, H. Liu, A. Schlaich, and C. Holm, “Solvent Effects on Structure and Screening in Confined Electrolytes,” Phys. Rev. Lett., vol. 131, no. 11, Art. no. 11, Sep. 2023, doi: 10.1103/PhysRevLett.131.118201.
- L. Yan, M. H. Golestan, W. Zhou, S. M. Hassanizadeh, C. F. Berg, and A. Raoof, “Direct Evidence of Salinity Difference Effect on Water Transport in Oil: Pore–Scale Mechanisms,” Energy &$\mathsemicolon$ Fuels, Sep. 2023, doi: 10.1021/acs.energyfuels.3c02245.
- C. Yan, B. Ehinger, A. Pérez-Bellido, M. V. Peelen, and F. P. de Lange, “Humans predict the forest, not the trees : statistical learning of spatiotemporal structure in visual scenes,” Cerebral cortex, vol. 33, no. 13, Art. no. 13, 2023, doi: 10.1093/cercor/bhad115.
- X. Xu, X. Zhang, A. Ruban, S. Schmauder, and B. Grabowski, “Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al,” Acta Materialia, vol. 255, p. 118986, Aug. 2023, doi: 10.1016/j.actamat.2023.118986.
- M. Wieland, M. Sedlmair, and T.-K. Machulla, “VR, Gaze, and Visual Impairment: An Exploratory Study of the Perception of Eye Contact across different Sensory Modalities for People with Visual Impairments in Virtual Reality,” in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Hamburg, Germany: Association for Computing Machinery, Apr. 2023, pp. 1–6. doi: 10.1145/3544549.3585726.
- X. Wang, J. Sun, J. Berberich, G. Wang, F. Allgöwer, and J. Chen, “Data-driven Control of Dynamic Event-triggered Systems with Delays,” Int. J. Robust and Nonlinear Control, vol. 33, pp. 7071–7093, 2023, doi: 10.1002/rnc.6740.
- T. Walter, N. Stutzig, and T. Siebert, “Active exoskeleton reduces erector spinae muscle activity during lifting,” Frontiers in Bioengineering and Biotechnology, vol. 11, Apr. 2023, doi: 10.3389/fbioe.2023.1150170.
- V. Wagner and N. Radde, “The impossible challenge of estimating non-existent moments of the Chemical Master Equation,” Bioinformatics, vol. 39, no. Supplement_1, Art. no. Supplement_1, Jun. 2023, doi: 10.1093/bioinformatics/btad205.
- A. Wagner, A. Sonntag, S. Reuschen, W. Nowak, and W. Ehlers, “Hydraulically induced fracturing in heterogeneous porous media using a TPM-phase-field model and geostatistics,” Proceedings in Applied Mathematics and Mechanics, vol. 23, p. e202200118, 2023, doi: https://doi.org/10.1002/pamm.202200118.
- J. Wachlmayr, G. Fläschner, K. Pluhackova, W. Sandtner, C. Siligan, and A. Horner, “Entropic barrier of water permeation through single-file channels,” Communications Chemistry, vol. 6, no. 1, Art. no. 1, Jun. 2023, doi: 10.1038/s42004-023-00919-0.
- S. Tovey et al., “Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning.” 2023. doi: https://doi.org/10.48550/arXiv.2307.00994.
- S. Tovey, F. Zills, F. Torres-Herrador, C. Lohrmann, M. Brückner, and C. Holm, “MDSuite: comprehensive post-processing tool for particle simulations,” Journal of Cheminformatics, vol. 15, no. 1, Art. no. 1, Feb. 2023, doi: 10.1186/s13321-023-00687-y.
- S. Tovey, S. Krippendorf, K. Nikolaou, and C. Holm, “Towards a phenomenological understanding of neural networks: data,” Machine Learning: Science and Technology, vol. 4, no. 3, Art. no. 3, Sep. 2023, doi: 10.1088/2632-2153/acf099.
- M. Suditsch, T. Ricken, and A. Wagner, “Patient-specific simulation of brain tumour growth and regression,” PAMM, vol. 23, no. 1, Art. no. 1, May 2023, doi: 10.1002/pamm.202200213.
- R. Strässer, J. Berberich, and F. Allgöwer, “Robust data-driven control for nonlinear systems using the Koopman operator,” in Proc. 22nd IFAC World Congress, in Proc. 22nd IFAC World Congress, vol. 56. 2023, pp. 2257–2262. doi: https://doi.org/10.1016/j.ifacol.2023.10.1190.
- A. Straub, G. K. Karch, J. Steigerwald, F. Sadlo, B. Weigand, and T. Ertl, “Visual Analysis of Interface Deformation in Multiphase Flow,” Journal of Visualization, 2023, doi: https://doi.org/10.1007/s12650-023-00939-x.
- A. Straub, N. Karadimitriou, G. Reina, S. Frey, H. Steeb, and T. Ertl, “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs,” IEEE Transactions on Visualization and Computer Graphics, 2023, doi: 10.1109/TVCG.2023.3326931.
- M. Soundaranathan et al., “Modelling the Evolution of Pore Structure during the Disintegration of Pharmaceutical Tablets,” Pharmaceutics, vol. 15, no. 2, Art. no. 2, 2023, doi: 10.3390/pharmaceutics15020489.
- R. S. Skukies and B. Ehinger, “The effect of estimation time window length on overlap correction in EEG data,” Conference on Cognitive Computational Neuroscience, 2023, doi: 10.32470/CCN.2023.1229-0.
- L. R. Skreinig et al., “guitARhero: Interactive Augmented Reality Guitar Tutorials,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–10, 2023, doi: 10.1109/TVCG.2023.3320266.
- T. Siebert et al., “Die Reflexaktivität der Halsmuskulatur bei seitlichen Fahrmanövern im Fahrsimulator,” J. E.-N. Kerstin Witte, Stefan Pastel, Ed., Steinbeis-Edition, Stuttgart, 2023.
- H. Sharma, H. Mu, P. Buchfink, R. Geelen, S. Glas, and B. Kramer, “Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds,” Computer Methods in Applied Mechanics and Engineering, vol. 417, p. 116402, Dec. 2023, doi: 10.1016/j.cma.2023.116402.
- S. Sharba, J. Herb, and F. Fritzen, “Reduced order homogenization of thermoelastic materials with strong temperature dependence and comparison to a machine-learned model,” Archive of Applied Mechanics, vol. 93, no. 7, Art. no. 7, Jul. 2023, doi: 10.1007/s00419-023-02411-6.
- S. M. Seyedpour, L. Lambers, G. Rezazadeh, and T. Ricken, “Mathematical modelling of the dynamic response of an implantable enhanced capacitive glaucoma pressure sensor,” Measurement: Sensors, p. 100936, 2023, doi: https://doi.org/10.1016/j.measen.2023.100936.
- S. M. Seyedpour, A. Thom, and T. Ricken, “Simulation of Contaminant Transport through the Vadose Zone: A Continuum Mechanical Approach within the Framework of the Extended Theory of Porous Media (eTPM),” Water, vol. 15, no. 2, Art. no. 2, 2023, doi: 10.3390/w15020343.
- N. Schäfer et al., “Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering.” 2023. doi: 10.18419/darus-3597.
- N. Schäfer et al., “Visual Analysis System for Scene-Graph-Based Visual Question Answering.” 2023. doi: 10.18419/darus-3589.
- N. Schäfer et al., “Visual Analysis of Scene-Graph-Based Visual Question Answering,” in Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, in Proceedings of the 16th International Symposium on Visual Information Communication and Interaction. Guangzhou, China: Association for Computing Machinery, Oct. 2023, pp. 1–8. doi: 10.1145/3615522.3615547.
- S. Schwindt et al., “Bayesian calibration points to misconceptions in three-dimensional hydrodynamic reservoir modelling,” Water Resources Research, vol. 59, p. e2022WR033660, 2023, doi: https://doi.org/10.1029/2022WR033660.
- M. Schneider, D. Born, J. Kästner, and G. Rauhut, “Positioning of grid points for spanning potential energy surfaces–How much effort is really needed?,” J. Chem. Phys., vol. 158, no. 14, Art. no. 14, 2023, doi: 10.1063/5.0146020.
- D. Schneider, T. Schrader, and B. Uekermann, “Data-Parallel Radial-Basis Function Interpolation in preCICE,” in 10th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering, M. Papadrakakis, S. B., and O. E., Eds., in 10th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering. CIMNE, 2023. doi: 10.23967/c.coupled.2023.016.
- A. Schmitz-Hübsch, R. Becker, and M. Wirzberger, “Personality Traits in the Emotion-Performance-Relationship in Intelligent Tutoring Systems,” in Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science, in Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science. , Springer, 2023, pp. 60–75. doi: 10.1007/978-3-031-34735-1_5.
- A. Schlottke, M. Ibach, J. Steigerwald, and B. Weigand, “Direct numerical simulation of a disintegrating liquid rivulet at a trailing edge,” in High Performance Computing in Science and Engineering ’21, W. E. Nagel, D. H. Kröner, and M. M. Resch, Eds., in High Performance Computing in Science and Engineering ’21. Cham: Springer International Publishing, 2023, pp. 239--257. doi: 10.1007/978-3-031-17937-2_14.
- S. Schlor, R. Strässer, and F. Allgöwer, “Koopman interpretation and analysis of a public-key cryptosystem: Diffie-Hellman key exchange,” in Proc. 22nd IFAC World Congress, in Proc. 22nd IFAC World Congress. Yokohama, Japan, 2023, pp. 984–990. doi: 10.1016/j.ifacol.2023.10.1693.
- A. Schlaich, S. Tyagi, S. Kesselheim, M. Sega, and C. Holm, “Renormalized charge and dielectric effects in colloidal interactions: a numerical solution of the nonlinear Poisson--Boltzmann equation for unknown boundary conditions,” The European Physical Journal E, vol. 46, no. 9, Art. no. 9, Sep. 2023, doi: 10.1140/epje/s10189-023-00334-2.
- C. W. Scherer, C. Ebenbauer, and T. Holicki, “Optimization Algorithm Synthesis based on Integral Quadratic Constraints: A Tutorial,” 2023, doi: 10.48550/ARXIV.2306.00565.
- C. W. Scherer, “Robust Exponential Stability and Invariance Guarantees with General Dynamic O’Shea-Zames-Falb Multipliers,” Jun. 2023, doi: 10.48550/ARXIV.2306.00571.
- L. Ruiz, L. F. O. Chamon, and A. Ribeiro, “Transferability Properties of Graph Neural Networks,” IEEE Trans. on Signal Process., vol. 71, pp. 3474--3489, 2023, doi: 10.1109/TSP.2023.3297848.
- S. Rigling, X. Yu, and M. Sedlmair, “‘In Your Face!’: Visualizing Fitness Tracker Data in Augmented Reality,” in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Hamburg, Germany: Association for Computing Machinery, Apr. 2023, pp. 1–7. doi: 10.1145/3544549.3585912.
- J. Rettberg, D. Wittwar, P. Buchfink, R. Herkert, J. Fehr, and B. Haasdonk, “Improved a posteriori Error Bounds for Reduced port-Hamiltonian Systems.” 2023. doi: https://doi.org/10.48550/arXiv.2303.17329.
- J. Rettberg et al., “Replication Data for: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar.” 2023. doi: 10.18419/darus-3248.
- J. Rettberg et al., “Port-Hamiltonian fluid–structure interaction modelling and structure-preserving model order reduction of a classical guitar,” Mathematical and Computer Modelling of Dynamical Systems, vol. 29, no. 1, Art. no. 1, 2023, doi: 10.1080/13873954.2023.2173238.
- C. D. Remy, Z. Brei, D. Bruder, J. Remy, K. Buffinton, and R. B. Gillespie, “The ‘Fluid Jacobian’: Modeling force-motion relationships in fluid-driven soft robots,” The International Journal of Robotics Research, Nov. 2023, doi: 10.1177/02783649231210592.
- L. Qiao, K. Szuttor, C. Holm, and G. W. Slater, “Ratcheting Charged Polymers through Symmetric Nanopores Using Pulsed Fields: Designing a Low Pass Filter for Concentrating Polyelectrolytes,” Nano Letters, vol. 23, no. 4, Art. no. 4, 2023, doi: https://pubs.acs.org/doi/10.1021/acs.nanolett.2c04588.
- J. Potyka, K. Schulte, and C. Planchette, “Simulation and Experimental data on liquid distribution after the head-on separation of immiscible liquid droplet collisions.” 2023. doi: 10.18419/darus-3594.
- J. Potyka, K. Schulte, and C. Planchette, “Liquid distribution after head-on separation of two colliding immiscible liquid droplets,” Physics of Fluids, vol. 35, no. 10, Art. no. 10, Oct. 2023, doi: 10.1063/5.0168080.
- J. Potyka and K. Schulte, “Setups for and Outcomes of Immiscible Liquid Droplet Collision Simulations.” 2023. doi: 10.18419/darus-3557.
- L. Pfitzer, J. Heitkämper, J. Kästner, and R. Peters, “Use of the N–O Bonds in N-Mesyloxyamides and N-Mesyloxyimides To Gain Access to 5-Alkoxy-3,4-dialkyloxazol-2-ones and 3-Hetero-Substituted Succinimides: A Combined Experimental and Theoretical Study,” Synthesis, vol. 55, no. 26, Art. no. 26, 2023, doi: 10.1055/s-0042-1751447.
- D. Pfeifer, J. Scheid, J. Kneifl, and J. Fehr, “An improved development process of production plants using digital twins with extended dynamic behaviour in virtual commissioning and control – Simulation@Operations,” Proceedings in Applied Mathematics & Mechanics, 2023, doi: 10.1002/pamm.202300225.
- D. Pfeifer, A. Baumann, M. Giani, C. Scheifele, and J. Fehr, “Hybrid Digital Twins Using FMUs to Increase the Validity and Domain of Virtual Commissioning Simulations,” in Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, in Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. Springer, 2023. doi: 10.1007/978-3-031-27933-1_19.
- F. Pes, É. Polack, P. Mazzeo, G. Dusson, B. Stamm, and F. Lipparini, “A Quasi Time-Reversible Scheme Based on Density Matrix Extrapolation on the Grassmann Manifold for Born–Oppenheimer Molecular Dynamics,” The Journal of Physical Chemistry Letters, pp. 9720--9726, Oct. 2023, doi: 10.1021/acs.jpclett.3c02098.
- T. Paul, “Artificial Intelligence Based Evaluation of Protein Quality: Evaluation of Backmapped Proteins,” 2023.
- S. Oladyshkin, T. Praditia, I. Kroeker, F. Mohammadi, W. Nowak, and S. Otte, “The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory,” Neural Networks, 2023, [Online]. Available: https://arxiv.org/abs/2306.14753
- A. R. Nikolaev, B. V. Ehinger, R. N. Meghanathan, and C. van Leeuwen, “Planning to revisit: Neural activity in refixation precursors,” Journal of Vision, vol. 23, no. 7, Art. no. 7, Jul. 2023, doi: 10.1167/jov.23.7.2.
- L. Neumaier, D. Roskosch, J. Schilling, G. Bauer, J. Gross, and A. Bardow, “Refrigerant Selection for Heat Pumps: The Compressor Makes the Difference,” Energy Technology, Feb. 2023, doi: 10.1002/ente.202201403.
- T. Munz-Körner, S. Künzel, and D. Weiskopf, “Supplemental Material for ‘Visual-Explainable AI: The Use Case of Language Models.’” 2023. doi: 10.18419/darus-3456.
- K. Mouris et al., “Stability criteria for Bayesian calibration of reservoir sedimentation models,” Modeling Earth Systems and Environment, 2023, doi: 10.1007/s40808-023-01712-7.
- M. M. Morato, T. Holicki, and C. W. Scherer, “Stabilizing Model Predictive Control Synthesis using Integral Quadratic Constraints and Full-Block Multipliers.” 2023. doi: 10.22541/au.167731929.92691723/v1.
- R. Morandin, J. Nicodemus, and B. Unger, “Port-Hamiltonian Dynamic Mode Decomposition,” SIAM Journal on Scientific Computing, vol. 45, no. 4, Art. no. 4, Jul. 2023, doi: 10.1137/22m149329x.
- M. F. Morales Oreamuno, S. Oladyshkin, and W. Nowak, “Information-Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem,” Water Resources Research, vol. 59, no. 7, Art. no. 7, Jul. 2023, doi: 10.1029/2022WR033711.
- T. Monninger et al., “SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks,” IEEE Robotics and Automation Letters, pp. 1–8, 2023, doi: 10.1109/LRA.2023.3234771.
- Molpeceres, G., Zaverkin, V., Furuya, K., Aikawa, Y., and Kästner, J., “Reaction dynamics on amorphous solid water surfaces using interatomic machine-learned potentials - Microscopic energy partition revealed from the P + H → PH reaction,” Astron. Astrophys., vol. 673, p. A51, 2023, doi: 10.1051/0004-6361/202346073.
- M. Millard, F. Kempter, N. Stutzig, T. Siebert, and J. Fehr, “Improving the Accuracy of Musculotendon Models for the Simulation of Active Lengthening,” in Proceedings of the IRCOBI Conference, in Proceedings of the IRCOBI Conference. Cambridge, UK, 2023.
- M. Millard, F. Kempter, J. Fehr, N. Stutzig, and T. Siebert, “A muscle model for injury simulation,” presented at the The 28th Congress of the European Society of Biomechanics, 2023.
- M. Millard et al., “Cervical muscle reflexes during lateral accelerations,” presented at the The 28th Congress of the European Society of Biomechanics, 2023.
- M. Millard, D. W. Franklin, and W. Herzog, “A three filament mechanistic model of musculotendon force and impedance,” bioRxiv, 2023, doi: 10.1101/2023.03.27.534347.
- R. Merkle and A. Barth, “On Properties and Applications of Gaussian Subordinated Lévy Fields,” Methodology and Computing in Applied Probability, vol. 25, p. 62, 2023, doi: 10.1007/s11009-023-10033-2.
- D. Meister, F. Dürr, and F. Allgöwer, “Shared Network Effects in Time- versus Event-Triggered Consensus of a Single-Integrator Multi-Agent System,” in 22nd IFAC World Congress, in 22nd IFAC World Congress. Yokohama, Japan, 2023, pp. 5975–5980. doi: 10.1016/j.ifacol.2023.10.636.
- T. J. Meijer, T. Holicki, S. J. A. M. van den Eijnden, C. W. Scherer, and W. P. M. H. Heemels, “The Non-Strict Projection Lemma.” 2023. doi: 10.48550/arXiv.2305.08735.
- V. Mehrmann and B. Unger, “Control of port-Hamiltonian differential-algebraic systems and applications,” Acta Numerica, vol. 32, pp. 395–515, 2023, doi: 10.1017/S0962492922000083.
- O. V. Martynenko et al., “Development and verification of a physiologically motivated internal controller for the open-source extended Hill-type muscle model in LS-DYNA,” Biomechanics and Modeling in Mechanobiology, vol. 22, no. 6, Art. no. 6, 2023, doi: 10.1007/s10237-023-01748-9.
- T. Martin, T. B. Schön, and F. Allgöwer, “Gaussian inference for data-driven state-feedback design of nonlinear systems,” in 22nd IFAC World Congress, in 22nd IFAC World Congress. 2023, pp. 4796–4803. doi: doi.org/10.1016/j.ifacol.2023.10.1245.
- T. Martin, T. B. Schön, and F. Allgöwer, “Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey,” Annual Reviews in Control (submitted), Preprint: arXiv:2306.16042, 2023.
- T. Martin and F. Allgöwer, “Data-driven inference on optimal input-output properties of polynomial systems with focus on nonlinearity measures,” IEEE Trans. Automat. Control, vol. 68, no. 5, Art. no. 5, 2023, doi: 10.1109/TAC.2022.3226652.
- T. Martin and F. Allgöwer, “Data-driven system analysis of nonlinear systems using polynomial approximation,” IEEE Trans. Automat. Control (early access), 2023, doi: 10.1109/TAC.2023.3321212.
- H. Mandler and B. Weigand, “Feature importance in neural networks as a means of interpretation for data-driven turbulence models,” Computers & Fluids, p. 105993, Jul. 2023, doi: 10.1016/j.compfluid.2023.105993.
- L. Mandl, A. Mielke, S. M. Seyedpour, and T. Ricken, “Affine transformations accelerate the training of physics-informed neural networks of a one-dimensional consolidation problem,” Scientific Reports, vol. 13, no. 1, Art. no. 1, 2023, doi: 10.1038/s41598-023-42141-x.
- C. G. Lopes, V. H. Nascimento, and L. F. O. Chamon, “Distributed Universal Adaptive Networks,” IEEE Trans. on Signal Process., vol. 71, pp. 1817--1832, 2023, doi: 10.1109/TSP.2023.3275812.
- C. Lohrmann and C. Holm, “Optimal motility strategies for self-propelled agents to explore porous media,” Phys. Rev. E, vol. 108, no. 5, Art. no. 5, Nov. 2023, doi: 10.1103/PhysRevE.108.054401.
- C. Lohrmann and C. Holm, “A novel model for biofilm initiation in porous media flow,” Soft Matter, vol. 19, no. 36, Art. no. 36, 2023, doi: 10.1039/D3SM00575E.
- J. Lißner and F. Fritzen, “Double U‐Net: Improved multiscale modeling via fully convolutional neural networks,” Proceedings in Applied Mathematics & Mechanics (PAMM), Sep. 2023, doi: 10.1002/pamm.202300205.
- S. Lauterbach et al., “EnzymeML: seamless data flow and modeling of enzymatic data,” Nature Methods, vol. 20, no. 3, Art. no. 3, 2023, doi: 10.1038/s41592-022-01763-1.
- L. Lambers et al., “Quantifying Fat Zonation in Liver Lobules: An IntegratedMultiscale In-silico Model Combining DisturbedMicroperfusion and Fat Metabolism via aContinuum-Biomechanical Bi-scale, Tri-phasic Approach,” Sep. 2023, doi: 10.21203/rs.3.rs-3348101/v1.
- M. Kurz, P. Offenhäuser, and A. Beck, “Deep reinforcement learning for turbulence modeling in large eddy simulations,” International Journal of Heat and Fluid Flow, vol. 99, p. 109094, Feb. 2023, doi: 10.1016/j.ijheatfluidflow.2022.109094.
- I. Kröker, S. Oladyshkin, and I. Rybak, “Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems,” Computational Geosciences, 2023, doi: 10.1007/s10596-023-10236-z.
- J. Kromer, J. Potyka, K. Schulte, and D. Bothe, “Efficient sequential PLIC interface positioning for enhanced performance of the three-phase VoF method,” Computers & Fluids, vol. 266, p. 106051, Nov. 2023, doi: 10.1016/j.compfluid.2023.106051.
- R. Kohlhaas, I. Kröker, S. Oladyshkin, and W. Nowak, “Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark,” Computational Geosciences, vol. 27, no. 3, Art. no. 3, 2023, doi: doi:10.1007/s10596-023-10199-1.
- J. Kneifl, D. Rosin, O. Röhrle, and J. Fehr, “Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction.” arXiv, 2023. doi: 10.48550/ARXIV.2302.06528.
- J. Kneifl, D. Rosin, O. Avci, O. Röhrle, and J. C. Fehr, “Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations.” 2023. doi: 10.18419/darus-3302.
- J. Kneifl, D. Rosin, O. Avci, O. Röhrle, and J. Fehr, “Low-dimensional data-based surrogate model of a continuum-mechanical musculoskeletal system based on non-intrusive model order reduction,” Archive of applied mechanics, vol. 93, pp. 3637–3663, 2023, doi: 10.1007/s00419-023-02458-5.
- A. Kharitenko and C. Scherer, “Time-varying Zames–Falb multipliers for LTI Systems are superfluous,” Automatica, vol. 147, p. 110577, Jan. 2023, doi: 10.1016/j.automatica.2022.110577.
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2022
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- S. Adam et al., “DNA sequence-dependent activity and base flipping mechanisms of DNMT1 regulate genome-wide DNA methylation,” Nat. Communications, vol. 11, no. 1, Art. no. 1, 2020, doi: 10.1038/s41467-020-17531-8.
2019
- 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.
- 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.
- 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. 120, no. 2, Art. no. 2, 2019, doi: 10.1007/s11242-019-01319-6.
- C. A. Rösinger and C. W. Scherer, “A Scalings Approach to $H_2$-Gain-Scheduling Synthesis without Elimination,” in IFAC-PapersOnLine, in IFAC-PapersOnLine, vol. 52. 2019, pp. 50–57. doi: 10.1016/j.ifacol.2019.12.347.
- A. Romer, S. Trimpe, and F. Allgöwer, “Data-driven inference of passivity properties via Gaussian process optimization,” in 2019 18th European Control Conference (ECC), in 2019 18th European Control Conference (ECC). IEEE, 2019, pp. 29--35.
- 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.
- 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.
- S. Oladyshkin and W. Nowak, “The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design,” Entropy, vol. 21, no. 11, Art. no. 11, Nov. 2019, 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), in 2019 IEEE Visualization Conference (VIS). Oct. 2019, pp. 251–255. doi: 10.1109/VISUAL.2019.8933606.
- T. Martin and F. Allgöwer, “Nonlinearity Measures for Data-Driven System Analysis and Control,” in Proc. 58th IEEE Conf. Decision and Control (CDC), in Proc. 58th IEEE Conf. Decision and Control (CDC). Nice, France, 2019, pp. 3605–3610. doi: 10.1109/CDC40024.2019.9029804.
- 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, 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. CRC Press, 2019, pp. 304–307. doi: 10.1201/9780429426506-52.
- 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.
- 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.
- M. Hopp and J. Gross, “Thermal Conductivity from Entropy Scaling: A Group-Contribution Method,” Industrial & Engineering Chemistry Research, vol. 58, no. 44, Art. no. 44, Oct. 2019, doi: 10.1021/acs.iecr.9b04289.
- 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.
- T. Holicki and C. W. Scherer, “A Homotopy Approach for Robust Output-Feedback Synthesis,” in Proc. 27th. Med. Conf. Control Autom., in Proc. 27th. Med. Conf. Control Autom. 2019, pp. 87–93. doi: 10.1109/MED.2019.8798536.
- 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), 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), 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 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.
- D. Driess, S. Schmitt, and M. Toussaint, “Active Inverse Model Learning with Error and Reachable Set Estimates.,” in IROS, 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.
- 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, no. 12, Art. no. 12, 2019, doi: 10.1039/C9CP00036D.
- G. Baggio, S. Zampieri, and C. W. Scherer, “Gramian Optimization with Input-Power Constraints,” in 2019 IEEE 58th Conference on Decision and Control (CDC), in 2019 IEEE 58th Conference on Decision and Control (CDC). Dec. 2019, pp. 5686–5691. doi: 10.1109/CDC40024.2019.9029169.
Publications of EXC 310 by year
2023
- Kempter, Fabian ; Lantella, Lorena ; Stutzig, Norman ; Fehr, Jörg Christoph ; Siebert, Tobias: Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM (2023). — Related to: Kempter, Fabian; Lantella, Lorena; Stutzig, Norman; Fehr, Jörg and Siebert, Tobias: Role of Rotated Head Postures on Volunteer Kinematics and Muscle Activity in Braking Scenarios Performed on a Driving Simulator, Annals of Biomedical Engineering , Vol. 51, No. 4 p. 771-782 2023. doi: 10.1007/s10439-022-03087-9
- Martynenko, Oleksandr V. ; Kempter, Fabian ; Kleinbach, Christian ; Nölle, Lennart V. ; Lerge, Patrick ; Schmitt, Syn ; Fehr, Jörg: Development and verification of a physiologically motivated internal controller for the open-source extended Hill-type muscle model in LS-DYNA. In: Biomechanics and Modeling in Mechanobiology, Biomechanics and Modeling in Mechanobiology. Bd. 22 (2023), Nr. 6, S. 2003--2032
- Fahse, Niklas ; Millard, Matthew ; Kempter, Fabian ; Maier, Steffen ; Roller, Michael ; Fehr, Jörg: Dynamic Human Body Models in Vehicle Safety: An Overview. In: GAMM-Mitteilungen, GAMM-Mitteilungen. Bd. 46 (2023), Nr. 2, S. e202300007
- Dibak, Christoph ; Nowak, Wolfgang ; Dürr, Frank ; Rothermel, Kurt: Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations. In: IEEE Transactions on Mobile Computing, IEEE Transactions on Mobile Computing. Bd. 22 (2023), Nr. 3, S. 1856–1866
2022
- Kempter, Fabian ; Lantella, Lorena ; Stutzig, Norman ; Fehr, Jörg ; Siebert, Tobias: Role of Rotated Head Postures on Volunteer Kinematics and Muscle Activity in Braking Scenarios Performed on a Driving Simulator. In: Annals of Biomedical Engineering, Annals of Biomedical Engineering. Bd. 51, Springer (2022), Nr. 4, S. 771–782
2021
- Kempter, Fabian ; Kleinbach, Christian ; Staudenmeyer, Martin ; Fehr, Jörg Christoph: An Active Female Human Body Model for Simulation of Rear-End Impact Scenarios. In: 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) : Wiley, 2021, S. e202000068
2020
- Sarap, Chandra Shekar ; Putra, Miftahussurur Hamidi ; Fyta, Maria: Domain-size effect on the electronic properties of two-dimensional $MoS_2/WS_2$. In: Phys. Rev. B, Phys. Rev. B. Bd. 101, American Physical Society (2020), Nr. 7, S. 075129
- Rohde, Christian ; Tang, Hao: On a stochastic Camassa--Holm type equation with higher order nonlinearities. In: Journal of Dynamics and Differential Equations, Journal of Dynamics and Differential Equations. Bd. 33, Springer (2020), S. 1823–1852
- Hilder, Bastian: Modulating traveling fronts for the Swift-Hohenberg equation in the case of an additional conservation law. In: Journal of Differential Equations, Journal of Differential Equations. Bd. 269, Elsevier BV (2020), Nr. 5, S. 4353--4380
- Fernández, Mauricio ; Rezaei, Shahed ; Mianroodi, Jaber Rezaei ; Fritzen, Felix ; Reese, Stefanie: Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. In: Advanced Modeling and Simulation in Engineering Sciences, Advanced Modeling and Simulation in Engineering Sciences. Bd. 7, Springer Science and Business Media LLC (2020), Nr. 1, S. 27
2019
- Weeber, Rudolf ; Nestler, Franziska ; Weik, Florian ; Pippig, Michael ; Potts, Daniel ; Holm, Christian: Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P2NFFT method. In: Journal of Computational Physics, Journal of Computational Physics. Bd. 391, Elsevier BV (2019), S. 243--258
- Partovi-Azar, Pouya ; Sarap, Chandra Shekar ; Fyta, Maria: In silico Complexes of Amino Acids and Diamondoids. In: ChemPhysChem, ChemPhysChem. Bd. 20, Wiley (2019), Nr. 17, S. 2166--2170
- Meisner, J. ; Kamp, I. ; Thi, W.-F. ; Kästner, J.: The role of atom tunneling in gas-phase reactions in planet-forming disks. In: Astron. Astrophys., Astron. Astrophys. Bd. 627 (2019), S. A45
- Markmeyer, Max N ; Lamberts, Thanja ; Meisner, Jan ; Kästner, Johannes: HOCO formation in astrochemical environments by radical-induced H-abstraction from formic acid. In: Mon. Not. R. Astron. Soc., Mon. Not. R. Astron. Soc. Bd. 482 (2019), Nr. 1, S. 293–300
- Köppel, Markus ; Franzelin, Fabian ; Kröker, Ilja ; Oladyshkin, Sergey ; Santin, Gabriele ; Wittwar, Dominik ; Barth, Andrea ; Haasdonk, Bernard ; u. a.: Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. In: Computational Geosciences, Computational Geosciences. Bd. 23, Springer (2019), S. 339–354
- Carlberg, Kevin ; Brencher, Lukas ; Haasdonk, Bernard ; Barth, Andrea: Data-driven time parallelism via forecasting. In: SIAM Journal on Scientific Computing, SIAM Journal on Scientific Computing. Bd. 41, Siam Publications (2019), Nr. 3, S. B466–B496
- Brodbeck, Daniel ; Álvarez-Barcia, Sonia ; Meisner, Jan ; Broghammer, Florian ; Klepp, Julian ; Garnier, Delphine ; Frey, Wolfgang ; Kästner, Johannes ; u. a.: Asymmetric Carboxycyanation of Aldehydes by Cooperative AlF-/Onium Salt Catalysts: from Cyanoformate to KCN as Cyanide Source. In: Chem. Eur. J., Chem. Eur. J. Bd. 25 (2019), S. 1515–1524
2018
- Scherer, Carsten W. ; Holicki, Tobias: An IQC theorem for relations: Towards stability analysis of data-integrated systems. In: IFAC-PapersOnLine, IFAC-PapersOnLine. Bd. 51, 2018, S. 390–395
- Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Some ideas on sampling strategies for data-driven inference of passivity properties for MIMO systems. In: 2018 Annual American Control Conference (ACC), 2018 Annual American Control Conference (ACC) : IEEE, 2018, S. 6094--6100
- Kaufmann, J. ; Geppert, A. ; Ertl, M. ; Bernard, R. ; Vaikuntanathan, V. ; Lamanna, G. ; Weigand, B.: Direct numerical simulations of one- and two-component droplet wall-film interactions within the crown-type splashing regime. In: ID 266, ICLASS 2018, 14th Triennial International Conference on Liquid Atomization and Spray Systems, ID 266, ICLASS 2018, 14th Triennial International Conference on Liquid Atomization and Spray Systems. Chicago, USA : University of Illinois, 2018
- Holicki, Tobias ; Scherer, Carsten W.: 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), 2018 IEEE Conference on Decision and Control (CDC), 2018, S. 6440–6445
- Holicki, Tobias ; Scherer, Carsten W.: A Swapping Lemma for Switched Systems. In: IFAC-PapersOnLine, IFAC-PapersOnLine. Bd. 51, 2018, S. 346–352
- Guo, Y. ; Scherer, C. W.: Robust Gain-Scheduled Controller Design with a Hierarchical Structure. In: IFAC-PapersOnline, IFAC-PapersOnline. Bd. 51, 2018, S. 228–233
- Driess, Danny ; Zimmermann, Heiko ; Wolfen, Simon ; Suissa, Dan ; Haeufle, Daniel ; Hennes, Daniel ; Toussaint, Marc ; Schmitt, Syn: 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 IEEE International Conference on Robotics and Automation (ICRA) : IEEE, 2018, S. 6461--6468
- Ricken, Tim ; Waschinsky, Navina ; Werner, Daniel: Simulation of steatosis zonation in liver lobule—a continuummechanical bi-scale, tri-phasic, multi-component approach. In: Biomedical technology, Biomedical technology : Springer, 2018, S. 15--33
- Wittwar, D. ; Haasdonk, B.: Greedy Algorithms for Matrix-Valued Kernels, 2018
- Tempel, P. ; Trautwein, F. ; Pott, A.: Experimental Validation of Cable Strain Dynamics Models of UHMWPE Dyneema Fibers for Improving Cable Tension Control Strategies : Springer Verlag; Springer International Publishing, 2018
- Tempel, P. ; Lee, D. ; Pott, A.: Elastic-Flexible Cable Models with Time-Varying Length for Cable-Driven Parallel Robots - A Rayleigh-Ritz Approach : IEEE, 2018
- Köppel, M. ; Martin, V. ; Roberts, J.E.: A stabilized Lagrange multiplier finite-element method for flow in porous media with fractures, 2018
- Köppel, M. ; Martin, V. ; Jaffre, J. ; Roberts, J.E.: A Lagrange multiplier method for a discrete fracture model for flow in porous media, 2018
- Köhler, J. ; Müller, M. A. ; Allgöwer, F.: A nonlinear tracking model predictive control scheme using reference generic terminal ingredients, 2018
- Haesaert, S. ; Weiland, S. ; Scherer, C. W.: A separation theorem for guaranteed $H_2$ performance through matrix inequalities : Automatica, 2018
- Bradley, C. ; Emamy, N. ; Ertl, T. ; Göddeke, D. ; Hessenthaler, A. ; Klotz, T. ; Krämer, A. ; Krone, M. ; u. a.: Towards realistic HPC models of the neuromuscular system, 2018
- Zong, Hongxiang ; Pilania, Ghanshyam ; Ding, Xiangdong ; Ackland, Graeme J ; Lookman, Turab: Developing an interatomic potential for martensitic phase transformations in zirconium by machine learning. In: npj Computational Materials, npj Computational Materials. Bd. 4, Nature Publishing Group (2018), Nr. 1, S. 1--8
- Yang, Guang ; Weigand, Bernhard ; Terzis, Alexandros ; Weishaupt, Kilian ; Helmig, Rainer: Numerical Simulation of Turbulent Flow and Heat Transfer in a Three-Dimensional Channel Coupled with Flow Through Porous Structures. In: Transport In Porous Media, Transport In Porous Media. Bd. 122, Springer (2018), Nr. 1, S. 145–167
- Weyman, Alexander ; Bier, Markus ; Holm, Christian ; Smiatek, Jens: Microphase separation and the formation of ion conductivity channels in poly(ionic liquid)s: A coarse-grained molecular dynamics study. In: The Journal of Chemical Physics, The Journal of Chemical Physics. Bd. 148, AIP Publishing (2018), Nr. 19, S. 193824
- Weeber, Rudolf ; Hermes, Melissa ; Schmidt, Annette M ; Holm, Christian: Polymer architecture of magnetic gels: a review. In: Journal of Physics: Condensed Matter, Journal of Physics: Condensed Matter. Bd. 30, IOP Publishing (2018), Nr. 6, S. 063002
- Waibel, C. ; Stierle, R. ; Gross, J.: Transferability of cross-interaction pair potentials: Vapor-liquid phase equilibria of n-alkane/nitrogen mixtures using the TAMie force field. In: Fluid Phase Equilibria, Fluid Phase Equilibria. Bd. 456 (2018), S. 124--130
- Waibel, C. ; Gross, J.: Modification of the Wolf Method and Evaluation for Molecular Simulation of Vapor-Liquid Equilibria. In: Journal of Chemical Theory and Computation, Journal of Chemical Theory and Computation. Bd. 14 (2018), Nr. 4, S. 2198--2206
- Valentin, J. ; Sprenger, M. ; Pflüger, D. ; Röhrle, O.: Gradient-Based Optimization with B-Splines on Sparse Grids for Solving Forward-Dynamics Simulations of Three-Dimensional, Continuum-Mechanical Musculoskeletal System Models. In: International Journal for Numerical Methods in Biomedical Engineering, International Journal for Numerical Methods in Biomedical Engineering., Wiley (2018)
- Valentin, J. ; Pflüger, D.: Fundamental Splines on Sparse Grids and Their Application to Gradient-Based Optimization. In: Sparse Grids and Applications - Miami 2016, Sparse Grids and Applications - Miami 2016., Springer (2018)
- Uhlig, Frank ; Zeman, Johannes ; Smiatek, Jens ; Holm, Christian: First-Principles Parametrization of Polarizable Coarse-Grained Force Fields for Ionic Liquids. In: Journal of Chemical Theory and Computation, Journal of Chemical Theory and Computation. Bd. 14, American Chemical Society (ACS) (2018), Nr. 3, S. 1471--1486
- Soloperto, Raffaele ; Müller, Matthias A ; Trimpe, Sebastian ; Allgöwer, Frank: Learning-based robust model predictive control with state-dependent uncertainty. In: IFAC-PapersOnLine, IFAC-PapersOnLine. Bd. 51, Elsevier (2018), Nr. 20, S. 442--447
- Schneider, M. ; Koeppl, T. ; Helmig, R. ; Steinle, R. ; Hilfer, R.: Stable Propagation of Saturation Overshoots for Two-Phase Flow in Porous Media. In: Transport in Porous Media, Transport in Porous Media. Bd. 121, Springer (2018), S. 621--641
- Schneider, M. ; Flemisch, B. ; Helmig, R. ; Terekhov, K. ; Tchelepi, H.: Monotone nonlinear finite-volume method for challenging grids. In: Computational Geosciences, Computational Geosciences., Springer (2018)
- Schmidt, A. ; Haasdonk, B.: Data-driven surrogates of value functions and applications to feedback control for dynamical systems. In: MathMod 2018, MathMod 2018. (2018)
- Scherer, C. W. ; Veenman, J.: Stability analysis by dynamic dissipation inequalities: On merging frequency-domain techniques with time-domain conditions. In: Syst. Contr. Letters, Syst. Contr. Letters. (2018)
- Santin, Gabriele ; Wittwar, Dominik ; Haasdonk, Bernard: Greedy regularized kernel interpolation. In: arXiv preprint arXiv:1807.09575, arXiv preprint arXiv:1807.09575. (2018)
- Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Data-driven inference of conic relations via saddle-point dynamics. In: IFAC-PapersOnLine, IFAC-PapersOnLine. Bd. 51, Elsevier (2018), Nr. 25, S. 396--401
- Rehner, P. ; Gross, J.: Surface tension of droplets and Tolman lengths of real substances and mixtures from density functional theory. In: THE JOURNAL OF CHEMICAL PHYSICS, THE JOURNAL OF CHEMICAL PHYSICS. Bd. 148 (2018), S. 164703
- Pfander, D. ; Daiß, G. ; Pflüger, D. ; Marcello, D. ; Kaiser, H.: Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. In: Proceedings of the 6th International Workshop on OpenCL, Proceedings of the 6th International Workshop on OpenCL. (2018)
- Pfander, D. ; Brunn, M. ; Pflüger, D.: AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. In: 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). (2018)
- Nguyen, K. ; Keip, M.-A.: A data-driven approach to nonlinear elasticity. In: Computers & Structures, Computers & Structures. Bd. 194, Elsevier (2018), S. 97--115
- Nateghi, A. ; Dal, H. ; Keip, M.-A. ; Miehe, C.: An affine microsphere approach to modeling strain-induced crystallization in rubbery polymers. In: Continuum Mechanics and Thermodynamics, Continuum Mechanics and Thermodynamics., Springer (2018), S. 1--23
- Narayanan Krishnamoorthy, Anand ; Holm, Christian ; Smiatek, Jens: Specific ion effects for polyelectrolytes in aqueous and non-aqueous media: the importance of the ion solvation behavior. In: Soft Matter, Soft Matter. Bd. 14, The Royal Society of Chemistry (2018), Nr. 30, S. 6243–6255
- Michalowsky, Julian ; Zeman, Johannes ; Holm, Christian ; Smiatek, Jens: A polarizable MARTINI model for monovalent ions in aqueous solution. In: The Journal of Chemical Physics, The Journal of Chemical Physics. Bd. 149, AIP Publishing (2018), Nr. 16, S. 163319
- Meisner, J. ; Karwounopoulos, J. ; Walther, P. ; Kästner, J. ; Naumann, S.: The Lewis Pair Polymerization of Lactones Using Metal Halides and N-Heterocyclic Olefins: Theoretical Insights. In: Molecules, Molecules. Bd. 23 (2018), Nr. 2
- Lotti, M. ; Pleiss, J. ; Valero, F. ; Ferrer, P.: Enzymatic production of biodiesel: strategies to overcome methanol inactivation. In: Biotechnol J, Biotechnol J. (2018)
- Linsenmayer, S. ; Ishii, H. ; Allgöwer, F.: Containability With Event-Based Sampling for Scalar Systems With Time-Varying Delay and Uncertainty. In: IEEE Control Systems Letters, IEEE Control Systems Letters. (2018)
- Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Nonlinear reference tracking: An economic model predictive control perspective. In: IEEE Transactions on Automatic Control, IEEE Transactions on Automatic Control. (2018)
- Kuritz, K. ; Halter, W. ; Allgöwer, F.: Passivity-based ensemble control for cell cycle synchronization. In: Lecture Notes in Control and Information Sciences - Proceedings, Lecture Notes in Control and Information Sciences - Proceedings. (2018)
- Krishnamoorthy, Anand Narayanan ; Holm, Christian ; Smiatek, Jens: Influence of Cosolutes on Chemical Equilibrium: a Kirkwood–Buff Theory for Ion Pair Association–Dissociation Processes in Ternary Electrolyte Solutions. In: The Journal of Physical Chemistry C, The Journal of Physical Chemistry C. Bd. 122, American Chemical Society (ACS) (2018), Nr. 19, S. 10293--10302
- Kane, B. ; Kloefkorn, R. ; Dedner, A.: Adaptive Discontinuous Galerkin Methods for flow in porous media. In: Proceedings of ENUMATH 2017, the 12th European conference on numerical mathematics and advanced applications, Proceedings of ENUMATH 2017, the 12th European conference on numerical mathematics and advanced applications., Springer (2018)
- Hocker, Stephen ; Lipp, Hansjörg ; Eisfeld, Eugen ; Schmauder, Siegfried ; Roth, Johannes: Precipitation strengthening in Cu--Ni--Si alloys modeled with ab initio based interatomic potentials. In: The Journal of chemical physics, The Journal of chemical physics. Bd. 149, AIP Publishing LLC (2018), Nr. 2, S. 024701
- Haeufle, Daniel FB ; Schmortte, Birgit ; Geyer, Hartmut ; Müller, Roy ; Schmitt, Syn: 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. In: Frontiers in computational neuroscience, Frontiers in computational neuroscience. Bd. 12, Frontiers (2018), S. 80
- Guo, C. Y.: Robust Gain-Scheduled Controller Design with a Hierarchical Structure. In: 9th IFAC Symposium on Robust Control Design, 9th IFAC Symposium on Robust Control Design. (2018)
- Flemisch, B. ; Berre, I. ; Boon, W. ; Fumagalli, A. ; Schwenck, N. ; Scotti, A. ; Stefansson, I. ; Tatomir, A.: Benchmarks for single-phase flow in fractured porous media. In: Advances in Water Resources, Advances in Water Resources. Bd. 111, Elsevier (2018), S. 239--258
- Fink, Davina ; Wagner, Arndt ; Ehlers, Wolfgang: Application-driven model reduction for the simulation of therapeutic infusion processes in multi-component brain tissue. In: JOURNAL OF COMPUTATIONAL SCIENCE, JOURNAL OF COMPUTATIONAL SCIENCE. Bd. 24, ELSEVIER SCIENCE BV (2018), S. 101–115
- Ferrario, Valerio ; Hansen, N ; Pleiss, Jürgen: Interpretation of cytochrome P450 monooxygenase kinetics by modeling of thermodynamic activity. In: J Inorg Biochem, J Inorg Biochem. Bd. 183 (2018), S. 172–178
- Fehr, J. ; Grunert, D. ; Bhatt, A. ; Haasdonk, B.: A sensitivity study of error estimation in reduced elastic multibody systems. In: Proceedings of MATHMOD 2018, Proceedings of MATHMOD 2018., IFAC (2018)
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- Carlberg, K. ; Brencher, L. ; Haasdonk, B. ; Barth, A.: Data-driven time parallelism via forecasting. In: SIAM J. of Sci. Comp., SIAM J. of Sci. Comp. (2018)
- Brunner, F. D. ; Antunes, D. ; Allgöwer, F.: Stochastic Thresholds in Event-Triggered Control: A Consistent Policy for Quadratic Control. In: Automatica, Automatica. Bd. 89, Elsevier (2018), S. 376--381
- Bhatt, A. ; Fehr, J. ; Haasdonk, B.: Model order reduction of an elastic body under large rigid motion. In: Proceedings of ENUMATH 2017, Proceedings of ENUMATH 2017., Springer (2018)
- Bayer, F. ; Müller, M. A. ; Allgöwer, F.: On optimal system operation in robust economic MPC. In: Automatica, Automatica. Bd. 88 (2018), S. 98--106
2017
- Fetzer, Matthias: From classical absolute stability tests towards a comprehensive robustness analysis. Stuttgart, University of Stuttgart, Dissertation, 2017
- Rösinger, C. A. ; Scherer, C. W.: Structured Controller Design With Applications to Networked Systems. In: Proc. 56th IEEE Conf. Decision and Control, Proc. 56th IEEE Conf. Decision and Control, 2017
- Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Sampling strategies for data-driven inference of passivity properties. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017 IEEE 56th Annual Conference on Decision and Control (CDC) : IEEE, 2017, S. 6389--6394
- Fetzer, M. ; Scherer, C. W.: Absolute stability analysis of discrete time feedback interconnections. In: IFAC-PapersOnline, IFAC-PapersOnline. Bd. 50, 2017, S. 8447–8453
- Schröder, P. ; Wagner, A. ; Stöhr, D. ; Rehm, M. ; Ehlers, W.: Variation of different growth descriptions in a metastatic proliferation model. In: von Scheven, M. ; Keip, M.-A. ; Karajan, N. (Hrsg.) ; von Scheven, M. ; Keip, M.-A. ; Karajan, N. (Hrsg.): Proceedings of the 7th GACM Colloquium on Computational Mechanics, Proceedings of the 7th GACM Colloquium on Computational Mechanics. Stuttgart, 2017, S. 259–262
- Danish, Lubna ; Stöhr, Daniela ; Scheurich, Peter ; Pollak, Nadine: TRAIL-R3/R4 and Inhibition of TRAIL Signalling in Cancer. In: Micheau, O. (Hrsg.) ; Micheau, O. (Hrsg.): TRAIL, Fas Ligand, TNF and TLR3 in Cancer, TRAIL, Fas Ligand, TNF and TLR3 in Cancer. Cham : Springer International Publishing, 2017 — ISBN 978-3-319-56805-8, S. 27--57
- Thomann, P. ; Steinwart, I. ; Blaschzyk, I. ; Meister, M.: Spatial Decompositions for Large Scale SVMs, 2017
- Steinwart, I. ; Ziegel, J.: Strictly proper kernel scores and characteristic kernels on compact spaces, 2017
- Steinwart, I. ; Thomann, P.: liquidSVM: A Fast and Versatile SVM package, 2017
- Steinwart, I. ; Sriperumbudur, B. ; Thomann, P.: Adaptive Clustering Using Kernel Density Estimators, 2017
- Müller, M. A.: Additional material to the paper „Nonlinear moving horizon estimation in the presence of bounded disturbances“, 2017
- Meyer, F. ; Giesselmann, J. ; Rohde, C.: A posteriori error analysis for random scalar conservation laws using the Stochastic Galerkin method, 2017
- Köppel, M. ; Franzelin, F. ; Kröker, I. ; Oladyshkin, S. ; Santin, G. ; Wittwar, D. ; Barth, A. ; Haasdonk, B. ; u. a.: Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario, 2017
- Koeppl, T. ; Fedoseyev, M. ; Helmig, R.: Simulation of surge reduction systems using dimensionally reduced models, 2017
- Hang, H. ; Steinwart, I.: A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning, 2017
- Greis, M. ; Schuff, H. ; Kleiner, M. ; Henze, N. ; Schmidt, A.: Input Controls for Entering Uncertain Data: Probability Distribution Sliders, 2017
- Fischer, S. ; Steinwart, I.: Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm, 2017
- Alla, A. ; Schmidt, A. ; Haasdonk, B.: Model Order Reduction Approaches for Infinite Horizon Optimal Control Problems via the HJB Equation : Springer International Publishing, 2017
- Zeng, S. ; Montenbruck, J. M. ; Allgöwer, F.: Periodic Signal Compressors. In: Proc. 20th IFAC World Congress, Proc. 20th IFAC World Congress. (2017), S. 6649--6654
- Zeng, S. ; Allgöwer, F.: Structured optimal feedback in multi-agent systems: A static output feedback perspective. In: Automatica, Automatica. Bd. 76 (2017), S. 214--221
- Zeman, J. ; Uhlig, F. ; Smiatek, J. ; Holm, C.: A coarse-grained polarizable force field for the ionic liquid 1-butyl-3-methylimidazolium hexafluorophosphate. In: Journal of Physics: Condensed Matter, Journal of Physics: Condensed Matter. (2017)
- Zderic, I. ; Steinmetz, P. ; Benneker, L. M. ; Röhrle, O. ; Windolf, M. ; Boger, A. ; Gueorguiev, B.: Bone cement allocation analysis in artificial cancellous bone structures. In: Journal of Orthopaedic Translation, Journal of Orthopaedic Translation. Bd. 8 (2017), S. 40--48
- Wittwar, D. ; Schmidt, A. ; Haasdonk, B.: Reduced Basis Approximation for the Discrete-time Parametric Algebraic Riccati Equation. In: SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Matrix Analysis and Applications. (2017)
- Wirtz, D. ; Nowak, W.: The rocky road to universal scientific simulation frameworks. In: Environmental Software and Modeling, Environmental Software and Modeling. Bd. 93, Elsevier (2017), S. 180--192
- van Gunsteren, W. F. ; Daura, X. ; Hansen, N. ; Mark, A. E. ; Oostenbrink, C. ; Riniker, S. ; Smith, L.: Validation of Molecular Simulation: An Overview of Issues. In: Angewandte Chemie International Edition, Angewandte Chemie International Edition. (2017)
- Tkachev, G. ; Frey, S. ; Mu?ller, C. ; Bruder, V. ; Ertl, T.: Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition. In: Eurographics Symposium on Parallel Graphics and Visualization, Eurographics Symposium on Parallel Graphics and Visualization. (2017)
- Thomaseth, C. ; Kuritz, K. ; Allgöwer, F. ; Radde, N.: The circuit-breaking algorithm for monotone systems. In: Mathematical Biosciences, Mathematical Biosciences. Bd. 284 (2017), S. 80--91
- Terzis, A. ; Roumeli, E. ; Weishaupt, K. ; Brack, S. ; Aslannejad, H. ; Groß, J. ; Hassanizadeh, S. M. ; Helmig, R. ; u. a.: Heat release at the wetting front during capillary filling of cellulosic micro-substrates. In: Journal of Colloid and Interface Science, Journal of Colloid and Interface Science. Bd. 504 (2017), S. 751--757
- Tempel, P. ; Schmidt, A. ; Haasdonk, B. ; Pott, A.: Application of the Rigid Finite Element Method to the Simulation of Cable-Driven Parallel Robots. In: Computational Kinematics, Computational Kinematics., Springer (2017)
- Teichtmeister, S. ; Kienle, D. ; Aldakheel, F. ; Keip, M.-A.: Phase Field Modeling of Fracture in Anisotropic Brittle Solids. In: International Journal of Non-Linear Mechanics, International Journal of Non-Linear Mechanics. Bd. 97, Elsevier (2017), S. 1--21
- Sonntag, M. ; Munz, C.-D.: Efficient Parallelization of a Shock Capturing for Discontinuous Galerkin Methods using Finite Volume Sub-cells. In: Journal of Scientific Computing, Journal of Scientific Computing. Bd. 70 (2017), S. 1262--1289
- Smith, L. J. ; van Gunsteren, W. F. ; Hansen, N.: Using Complementary NMR Data Sets To Detect Inconsistencies and Model Flaws in the Structure Determination of Human Interleukin-4. In: The Journal of Physical Chemistry B, The Journal of Physical Chemistry B. Bd. 121 (2017), S. 7055--7063
- Smith, L. J. ; Athill, R. ; van Gunsteren, W. F. ; Hansen, N.: 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. In: Chemistry - A European Journal, Chemistry - A European Journal. Bd. 23 (2017), S. 9585--9591
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- Schneider, M. ; Gläser, D. ; Flemisch, B. ; Helmig, R.: Nonlinear finite-volume scheme for complex flow processes on corner-point grids. In: Finite Volumes For Complex Applications VIII, Finite Volumes For Complex Applications VIII., Springer (2017), S. 417--425
- Schneider, M. ; Flemisch, B. ; Helmig, R.: Monotone nonlinear finite-volume method for nonisothermal two-phase two-component flow in porous media. In: International Journal for Numerical Methods in Fluids, International Journal for Numerical Methods in Fluids., Wiley (2017)
- Schneider, M. ; Agelas, L. ; Enchery, G. ; Flemisch, B.: Convergence of nonlinear finite volume schemes for heterogeneous anisotropic diffusion on general meshes. In: Journal of Computational Physics, Journal of Computational Physics., Elsevier (2017)
- Schmidt, A. ; Haasdonk, B.: Reduced Basis Approximation of Large Scale Algebraic Riccati Equations. In: ESAIM: COCV, ESAIM: COCV. (2017)
- Scheufel, K. ; Mehl, M.: Robust multi-secant Quasi- Newton variants for parallel fluid-structure simulations -- and other multiphysics applications. In: SIAM Journal on Scientific Computing, SIAM Journal on Scientific Computing. Bd. 39 (2017), S. 404--433
- Scherer, C. W. ; Roesinger, C.: Structured Controller Design With Applications to Networked Systems. In: 56th IEEE Conf. Decision and Control, 56th IEEE Conf. Decision and Control., IEEE Xplore (2017), S. 4771--4776
- Scharnowski, K. ; Frey, S. ; Raffin, B. ; Ertl, T.: Spline-based Decomposition of Streamed Particle Trajectories for Efficient Transfer and Analysis Conversion. In: EuroVis 2017, Short Paper, EuroVis 2017, Short Paper. (2017)
- Santin, Gabriele ; Haasdonk, Bernard: Convergence rate of the data-independent P-greedy algorithm in kernel-based approximation. In: Dolomites Research Notes on Approximation, Dolomites Research Notes on Approximation. Bd. 10, Padova University Press (2017), Nr. 06/2017, S. 68–78
- Sander, O. ; Koch, T. ; Schröder, N. ; Flemisch, B.: The Dune FoamGrid implementation for surface and network grids. In: Archive of Numerical Software, Archive of Numerical Software. Bd. 5 (2017), Nr. 1, S. 217--244
- Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Determining dissipation inequalities from input-output samples. In: IFAC-PapersOnLine, IFAC-PapersOnLine. Bd. 50, Elsevier (2017), Nr. 1, S. 7789--7794
- Pedroso, D. ; Zhang, Y. ; Ehlers, W.: Solution of Liquid-Gas-Solid Coupled Equations for Porous Media Considering Dynamics and Hysteretic Retention Behavior. In: Journal of Engineering Mechanics, Journal of Engineering Mechanics. Bd. 143, American Society of Civil Engineers (2017), S. 04017021
- Neupert, Niklas ; Gomaa, Hassan ; Joos, Franz ; Weigand, Bernhard: Investigation and modeling of two phase flow through a compressor stage: Analysis of film breakup. In: European Journal of Mechanics-B/Fluids, European Journal of Mechanics-B/Fluids. Bd. 61, Elsevier (2017), S. 279--288
- Namhata, A. ; Zhang, L. ; Dilmore, R. M. ; Oladyshkin, S. ; Nakles, D. V.: Modeling Pressure Changes due to Migration of Fluids into the Above Zone Monitoring interval of a Geologic Carbon Storage Site. In: International Journal of Greenhouse Gas Control, International Journal of Greenhouse Gas Control. Bd. 56, Elsevier (2017), S. 30--42
- Najmabadi, S. M. ; Offenhäuser, P. ; Hamann, M. ; Jajnabalkya, G. ; Hempert, F. ; Glass, C. W. ; Simon, S.: Analyzing the Effect and Performance of Lossy Compression on Aeroacoustic Simulation of Gas Injector. In: Computation, Computation. Bd. 5 (2017)
- Mordhorst, M. ; Strecker, T. ; Wirtz, D. ; Heidlauf, T. ; Röhrle, O.: POD-DEIM reduction of computational EMG models. In: Journal of Computational Science, Journal of Computational Science. Bd. 19 (2017), S. 86--96
- Montenbruck, J. M. ; Zelazo, D. ; Allgöwer, F.: Fekete Points, Formation Control, and the Balancing Problem. In: IEEE Trans. Automat. Control, IEEE Trans. Automat. Control. Bd. 62 (2017), S. 5069--5081
- Montenbruck, J. M. ; Allgöwer, F.: An Input-Output Framework for Submanifold Stabilization. In: IEEE Trans. Automat. Control, IEEE Trans. Automat. Control. Bd. 62 (2017), S. 5170--5184
- Montenbruck, J. M. ; Allgöwer, F.: Separable matrices and minimum complexity controllers. In: Proc. 56th IEEE Conf. Decision and Control (CDC), Proc. 56th IEEE Conf. Decision and Control (CDC). (2017), S. 4187--4192
- Meisner, J. ; Markmeyer, M. N. ; Bohner, M. U. ; Kästner, J.: Comparison of classical reaction paths and tunneling paths studied with the semiclassical instanton theory. In: Phys. Chem. Chem. Phys., Phys. Chem. Chem. Phys. Bd. 19 (2017), S. 23085--23094
- Meisner, J. ; Lamberts, T. ; Kästner, J.: Atom Tunneling in the Water Formation Reaction H2 + OH -> H2O + H on an Ice Surface. In: ACS Earth and Space Chemistry, ACS Earth and Space Chemistry. Bd. 1 (2017), Nr. 7, S. 399--410
- Mehne, J. ; Nowak, W.: Improving temperature predictions for Li-ion batteries: data assimilation with a stochastic extension of a physically-based, thermo-electrochemical model. In: Journal of Energy Storage, Journal of Energy Storage. Bd. 12, Elsevier (2017), S. 288--296
- Markthaler, D. ; Zeman, J. ; Baz, J. ; Smiatek, J. ; Hansen, N.: Validation of Trimethylamine-N-Oxide (TMAO) Force Fields Based on Thermophysical Properties of Aqueous TMAO Solutions. In: The Journal of Physical Chemistry B, The Journal of Physical Chemistry B. (2017)
- Markthaler, D. ; Gebhardt, J. ; Jakobtorweihen, S. ; Hansen, N.: Molecular Simulations of Thermodynamic Properties for the System alpha-Cyclodextrin/Alcohol in Aqueous Solution. In: Chemie Ingenieur Technik, Chemie Ingenieur Technik. (2017)
- Lorenzen, M. ; Müller, M. A. ; Allgöwer, F.: Stabilizing Stochastic MPC without Terminal Constraints. In: Proceedings of the American Control Conference, Proceedings of the American Control Conference. (2017), S. 5636--5641
- Lorenzen, M. ; Müller, M. A. ; Allgöwer, F.: Stochastic Model Predictive Control without Terminal Constraints. In: International Journal of Robust and Nonlinear Control, International Journal of Robust and Nonlinear Control. (2017)
- Lorenzen, M. ; Dabbene, F. ; Tempo, R. ; Allgöwer, F.: Stochastic MPC with offline uncertainty sampling. In: Automatica, Automatica. Bd. 81 (2017), S. 176--183
- Lorenzen, M. ; Dabbene, F. ; Tempo, R. ; Allgöwer, F.: Constraint-Tightening and Stability in Stochastic Model Predictive Control. In: IEEE Transactions on Automatic Control, IEEE Transactions on Automatic Control. Bd. 62 (2017), S. 3165--3177
- Lorenzen, M. ; Allgöwer, F. ; Cannon, M.: Adaptive Model Predictive Control with Robust Constraint Satisfaction. In: Proceedings of the IFAC World Congress, Proceedings of the IFAC World Congress. Bd. 50, ScienceDirect (2017), Nr. 1, S. 3313--3318
- Linsenmayer, S. ; Dimarogonas, D.V. ; Allgöwer, F.: Event-Based Vehicle Coordination Using Nonlinear Unidirectional Controllers. In: IEEE Transactions on Control of Network Systems, IEEE Transactions on Control of Network Systems. (2017)
- Linsenmayer, S. ; Blind, R. ; Allgöwer, F.: Delay-dependent data rate bounds for containability of scalar systems. In: Proceedings of the 20th IFAC World Congress, Proceedings of the 20th IFAC World Congress. (2017), S. 7875--7880
- Linsenmayer, S. ; Allgöwer, F.: Stabilization of Networked Control Systems with weakly hard real-time dropout description. In: Proceedings of the 56th IEEE Conference on Decision and Control (CDC), Proceedings of the 56th IEEE Conference on Decision and Control (CDC)., IEEE Xplore (2017), S. 4765--4770
- Leuschner, M. ; Fritzen, F.: Reduced order homogenization for viscoplastic composite materials including dissipative imperfect interfaces. In: Mechanics of Materials, Mechanics of Materials. Bd. 104, Elsevier (2017), S. 121--138
- Langer, A.: Automated Parameter Selection in the $L^1$-$L^2$-$TV$ Model for Removing Gaussian Plus Impulse Noise. In: Inverse Problems, Inverse Problems. Bd. 33 (2017)
- Langer, A.: Automated Parameter Selection for Total Variation Minimization in Image Restoration. In: Journal of Mathematical Imaging and Vision, Journal of Mathematical Imaging and Vision. Bd. 57, Springer (2017), S. 239--268
- Köppel, M. ; Kröker, I. ; Rohde, C.: Intrusive Uncertainty Quantification for Hyperbolic-Elliptic Systems Governing Two-Phase Flow in Heterogeneous Porous Media. In: Computational Geosciences, Computational Geosciences. Bd. 21, Springer (2017), Nr. 4, S. 807--832
- Köhler, P. N. ; Müller, M. A. ; Pannek, J. ; Allgöwer, F.: On Exploitation of Supply Chain Properties by Sequential Distributed MPC. In: Proceedings of the 20th IFAC World Congress, Proceedings of the 20th IFAC World Congress. Bd. 50, ScienceDirect (2017), Nr. 1, S. 7947--7952
- Köhler, J. ; Müller, M. A. ; Li, N. ; Allgöwer, F.: Real Time Economic Dispatch for Power Networks: A Distributed Economic Model Predictive Control Approach. In: Proceedings of 56th Annual Conference on Decision and Control (CDC), Proceedings of 56th Annual Conference on Decision and Control (CDC). (2017), S. 6340--6345
- Kuritz, K. ; Stöhr, D. ; Pollak, N. ; Allgöwer, F.: On the relationship between cell cycle analysis with ergodic principles and age-structured cell population models. In: Journal of Theoretical Biology, Journal of Theoretical Biology. Bd. 414 (2017), S. 91--102
- Koy, M. ; Elser, I. ; Meisner, J. ; Frey, W. ; Wurst, K. ; Kästner, J. ; Buchmeiser, M. R.: High Oxidation State Molybdenum N-Heterocyclic Carbene Alkylidyne Complexes: Synthesis, Mechanistic Studies, and Reactivity. In: Chemistry – A European Journal, Chemistry – A European Journal. Bd. 23 (2017), Nr. 61, S. 1521--3765
- Kolb, Brian ; Lentz, Levi C ; Kolpak, Alexie M: Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods. In: Scientific reports, Scientific reports. Bd. 7, Nature Publishing Group (2017), Nr. 1, S. 1--9
- Kleinbach, C. ; Martynenko, O. ; Promies, J. ; Haeufle, D.F.B. ; Fehr, J. ; Schmitt, S.: Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models. In: BioMedical Engineering OnLine, BioMedical Engineering OnLine. Bd. 16:109 (2017), S. 28
- Keip, M.-A. ; Rambausek, M.: Computational and analytical investigations of shape effects in the experimental characterization of magnetorheological elastomers. In: International Journal of Solids and Structures, International Journal of Solids and Structures., Elsevier (2017)
- Keip, M.-A. ; Nadgir, O.: An electro-elastic phase-field model for nematic liquid crystal elastomers based on Landau-de-Gennes theory. In: GAMM-Mitteilungen, GAMM-Mitteilungen. Bd. 40, Wiley (2017), S. 102--124
- Karch, G. ; Beck, F. ; Ertl, M. ; Meister, C. ; Schulte, K. ; Weigand, B. ; Ertl, T. ; Sadlo, F.: Visual analysis of inclusion dynamics in two-phase flow. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics., IEEE (2017)
- Jensch, A. ; Thomaseth, C. ; Radde, N.: 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. In: BMC Systems Biology, BMC Systems Biology. Bd. 11:11 (2017)
- Hofmann, A. ; Hanss, M.: Fuzzy arithmetical controller design for active road vehicle suspension in the presence of uncertainties. In: 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR). (2017), S. 582--587
- Hocker, S. ; Rapp, D. ; Schmauder, S.: Molecular dynamics simulations of strengthening due to silver precipitates in copper matrix. In: physica status solidi (b), physica status solidi (b)., Wiley VCH (2017)
- Hirschmann, S. ; Brunn, M. ; Lahnert, M. ; Mehl, M. ; Glass, C. W. ; Pflüger, D.: Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. In: Advances in Parallel Computing, Advances in Parallel Computing. Bd. 32, IOS Press (2017), S. 455--464
- Hintermüller, M. ; Rautenberg, C.N. ; Wu, T. ; Langer, A.: Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests. In: Journal of Mathematical Imaging and Vision, Journal of Mathematical Imaging and Vision. Bd. 59, Springer (2017), S. 515--533
- Hessenthaler, A. ; Röhrle, O. ; Nordsletten, D.: Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI. In: International Journal for Numerical Methods in Biomedical Engineering, International Journal for Numerical Methods in Biomedical Engineering. Bd. 33 (2017)
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- Herschel, M. ; Diestelkämper, R. ; Ben Lahmar, H.: A survey on provenance: What for? What form? What from? In: International Journal on Very Large Data Bases, International Journal on Very Large Data Bases. Bd. 26 (2017), Nr. 6, S. 881--906
- Hempert, F. ; Boblest, S. ; Ertl, T. ; Sadlo, F. ; Offenhäuser, P. ; Glass, C.W. ; Hoffmanne, M. ; Becke, A. ; u. a.: Simulation of real gas effects in supersonic methane jets using a tabulated equation of state with a discontinuous Galerkin spectral element method. In: Computers & Fluids, Computers & Fluids. Bd. 145 (2017), S. 167--179
- Hamann, D. ; Walz, N.-P. ; Fischer, A. ; Hanss, M. ; Eberhard, P.: Fuzzy arithmetical stability analysis of uncertain machining systems. In: Mechanical Systems and Signal Processing, Mechanical Systems and Signal Processing. Bd. 98, Elsevier (2017), Nr. 1, S. 14
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- Hahn, M. ; Breitenbücher, U. ; Leymann, F. ; Weiß, A.: TraDE - A Transparent Data Exchange Middleware for Service Choreographies. In: Lecture Notes in Computer Science (LNCS), Lecture Notes in Computer Science (LNCS). Bd. 10573, Springer International Publishing (2017), S. 252--270
- Hahn, M. ; Breitenbücher, U. ; Kopp, O. ; Leymann, F.: Modeling and execution of data-aware choreographies: an overview. In: Computer Science - Research and Development, Computer Science - Research and Development., Springer Berlin Heidelberg (2017)
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- Goebel, G. ; Allgöwer, F.: Semi-explicit MPC based on subspace clustering. In: Automatica, Automatica. Bd. 83 (2017), S. 309--316
- Goebel, G. ; Allgöwer, F.: New results on semi-explicit and almost explicit MPC algorithms. In: at-Automatisierungstechnik, at-Automatisierungstechnik. Bd. 65 (2017), S. 245--259
- Gläser, D. ; Helmig, R. ; Flemisch, B. ; Class, H.: A discrete fracture model for two-phase flow in fractured porous media. In: Advances in Water Resources, Advances in Water Resources. Bd. 110, Elsevier (2017), S. 335--348
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2014
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