EXC 310:  Simulationstechnik

• Fachliche Zuordnung: Mechanik und Konstruktiver Maschinenbau ; Bauwesen und Architektur ; Mathematik ; Systemtechnik
• Förderung: Förderung von 2007 bis 2018
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 50131014

• Erstellungsjahr: 2020

Zusammenfassung der Projektergebnisse

Seit Jahrhunderten werden in den Wissenschaften komplexe Phänomene durch Modelle beschrieben. Simulationen ermöglichen es uns, wichtige Aspekte dieser Systeme zu verstehen, ihre Zustände vorherzusagen und zu entscheiden, wie solche Systeme zu kontrollieren sind. Simulationstechnologie hat sich zu einem unverzichtbaren Bestandteil von Forschung und Entwicklung in vielen unterschiedlichen Gebieten entwickelt und trägt entscheidend zum technologischen Fortschritt in unserer modernen Gesellschaft bei. Seit 2007 hat der Exzellenzcluster EXC 310 „Simulation Technology (SimTech)” an der Universität Stuttgart die Simulation hinsichtlich Modellen, Methoden und Computing-Aspekten aus der Ingenieursperspektive in großer Breite und Tiefe vorangetrieben. Mit seinem interdisziplinären und methodischen Profil hat der EXC 310 die gesamte Universität nachhaltig geprägt und durch über 10 neuen Professuren Modellierung und Simulation als international sichtbaren Forschungsschwerpunkt etabliert. SimTechs langfristiges Ziel war, die Simulationstechnik von isolierten Ansätzen zu einer ganzheitlichen Systemwissenschaft zu entwickeln. Traditionelle Strategien aus verschiedenen Disziplinen und Theorien wurden überwunden und zu einer neuen Klasse einer integrativen Simulationsumgebung verschmolzen, die alle Aspekte vom Modell bis zum interaktiven System unterstützt. Wir trugen zur einem vertieften Verständnis grundlegender Prozesse bei und verbesserten Modellierungsstrategien und numerische Algorithmen, entwickelten Datenmanagement und -analyse weiter und erhöhten die Leistung und Verlässlichkeit zukünftiger Simulationssysteme. Dies war nur über akademische Fachgrenzen hinweg möglich. Der Cluster konzentrierte sich auf sieben Forschungsbereiche, die von Molekulardynamik und moderner Mechanik über Numerische Mathematik und Systemanalyse bis hin zum Datenmanagement, zur interaktiven Visualisierung und zum High-Performance-Computing reichen und von der Integrativen Plattform der Reflektion und der Kontextualisierung umfasst wurden. Projektnetzwerke gruppierten sich um zentrale methodische Herausforderungen und Anwendungsvisionen und trugen zum Wissenstransfer bei. SimTech war auch überaus erfolgreich in Bezug auf Ausbildung, wissenschaftlichen Nachwuchs sowie bei Gleichstellung und Diversität. Der konsekutive Studiengang Simulation Technology hat inzwischen über 150 BSc und MSC Abschlüsse vergeben. In der Graduiertenschule wurden 130 Promotionen und 10 Habilitationen abgeschlossen. SimTech war federführend, den Tenure-Track an der Universität Stuttgart einzuführen und es wurden 12 Juniorprofessuren erfolgreich evaluiert. 50 Nachwuchswissenschaftler wurden auf Professuren an der Universität und weltweit berufen. Der Cluster wurde in einer fakultätsähnlichen Struktur als Stuttgarter Zentrum für Simulationswissenschaften nachhaltig institutionalisiert, in dem auch der neue EXC 2075 “Data-Integrierte Simulationswissenschaft” auf den Erfolgen von EXC 310 aufbaut.

Projektbezogene Publikationen (Auswahl)

• “A unified framework for the construction of one-step finite volume and discontinuous Galerkin schemes on unstructured meshes”. In: Journal of Computational Physics 227.18 (2008), pp. 8209–8253
  Dumbser, M., D. S. Balsara, E. F. Toro, and C.-D. Munz
  
• “An extended biphasic model for charged hydrated tissues with application to the intervertebral disc”. In: Biomechanics and Modeling in Mechanobiology 8.3 (2008), pp. 233–251
  Ehlers, W., N. Karajan, and B. Markert
  
• “Continuous scatterplots”. In: IEEE Transactions on Visualization and Computer Graphics 14.6 (2008), pp. 1428–1435
  Bachthaler, S. and D. Weiskopf
  
• “The role of weakly imposed Dirichlet boundary conditions for numerically stable computations of swelling phenomena”. In: Computational Mechanics 43.4 (2008), pp. 545–557
  Ehlers, W. and A. Acartürk
  
• “A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality”. In: IEEE Transactions on Visualization and Computer Graphics 15.4 (2009), pp. 605–617
  Müller, C., S. Frey, M. Strengert, C. Dachsbacher, and T. Ertl
  
• “Geometrical interpretation of the multi-point flux approximation L-method”. In: International Journal for Numerical Methods in Fluids 60.11 (2009), pp. 1173–1199
  Cao, Y., R. Helmig, and B. I. Wohlmuth
  
• “Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels”. In: IEEE Transactions on Pattern Analysis and Machine Intelligence 31.6 (2009), pp. 1017–1032
  Pekalska, E. and B. Haasdonk
  
• “Learning model-free robot control by a Monte Carlo EM algorithm”. In: Autonomous Robots 27.2 (2009), pp. 123–130
  Vlassis, N., M. Toussaint, G. Kontes, and S. Piperidis
  
• “On meeting lifetime goals and providing constant application quality”. In: ACM Transactions on Sensor Networks 5.4 (2009), pp. 1–36
  Lachenmann, A., K. Herrmann, K. Rothermel, and P. J. Marrón
  
• “Rational design of a minimal and highly enriched CYP102A1 mutant library with improved regio-, stereo- and chemoselectivity”. In: ChemBioChem 10.5 (2009), pp. 853–861
  Seifert, A., S. Vomund, K. Grohmann, S. Kriening, V. B. Urlacher, S. Laschat, and J. Pleiss
  
• “Explaining missing answers to SPJUA queries”. In: Proceedings of the VLDB Endowment 3.1 (2010), pp. 185–196
  Herschel, M. and M. A. Hernández
  
• “Fault Tolerant Network on Chip Switching With Graceful Performance Degradation”. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 29.6 (2010), pp. 883–896
  Kohler, A., G. Schley, and M. Radetzki
  
• “Gazemarks: gaze-based visual placeholders to ease attention switching”. In: Proceedings of the 28th international conference on Human factors in computing systems - CHI ’10 (2010)
  Kern, D., P. Marshall, and A. Schmidt
  
• “High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster”. In: Journal of Computational Physics 229.20 (2010), pp. 7692–7714
  Komatitsch, D., G. Erlebacher, D. Göddeke, and D. Michéa
  
• “Implicit Method for Simulating Electrohydrodynamics of Polyelectrolytes”. In: Physical Review Letters 105.14 (2010)
  Hickey, O. A., C. Holm, J. L. Harden, and G. W. Slater
  
• “Multilevel particle-partition of unity method”. In: Numerische Mathematik 118.2 (2010), pp. 307–328
  Schweitzer, M. A.
  
• “Perspectives on grid computing”. In: Future Generation Computer Systems 26.8 (2010), pp. 1104–1115
  Schwiegelshohn, U., R. M. Badia, M. Bubak, M. Danelutto, S. Dustdar, F. Gagliardi, A. Geiger, L. Hluchy, D. Kranzlmüller, E. Laure, T. Priol, A. Reinefeld, M. Resch, A. Reuter, O. Rienhoff, T. Rüter, P. Sloot, D. Talia, K. Ullmann, R. Yahyapour, and G. von Voigt
  
• “Simulation process of flexible multibody systems with non-modal model order reduction techniques”. In: Multibody System Dynamics 25.3 (2010), pp. 313–334
  Fehr, J. and P. Eberhard
  
• “Towards performance portability through runtime adaptation for high-performance computing applications”. In: Concurrency and Computation: Practice and Experience 22.16 (2010), pp. 2230–2246
  Gabriel, E., S. Feki, K. Benkert, and M. Resch
  
• “A coupling concept for two-phase compositional porous-medium and single-phase compositional free flow”. In: Water Resources Research 47.10 (2011), pp. 1–19
  Mosthaf, K., K. Baber, B. Flemisch, R. Helmig, A. Leijnse, I. Rybak, and B. Wohlmuth
  
• “Cognitive Diversity of Top Management Teams as a Competence-Based Driver of Innovation Capability: How to Decode Its Contribution Comprehensively”. In: Strategies and Communications for Innovations (2011), pp. 37–50
  Hülsmann, M., M. Tilebein, P. Cordes, and V. Stolarski
  
• “Coping with Complexity, Uncertainty and Ambiguity in Risk Governance: A Synthesis”. In: AMBIO 40.2 (2011), pp. 231–246
  Renn, O., A. Klinke, and M. van Asselt
  
• “Determining Force Field Parameters Using a Physically Based Equation of State”. In: The Journal of Physical Chemistry B 115.24 (2011), pp. 7872–7880
  Westen, T. van, T. J. H. Vlugt, and J. Gross
  
• “Determining the Numerical Stability of Quantum Chemistry Algorithms”. In: Journal of Chemical Theory and Computation 7.8 (2011), pp. 2387–2398
  Knizia, G., W. Li, S. Simon, and H.-J. Werner
  
• “Explicit one-step time discretizations for discontinuous Galerkin and finite volume schemes based on local predictors”. In: Journal of Computational Physics 230.11 (2011), pp. 4232–4247
  Gassner, G., M. Dumbser, F. Hindenlang, and C.-D. Munz
  
• “Explicitly correlated multireference configuration interaction: MRCI-F12”. In: The Journal of Chemical Physics 134.3 (2011), p. 034113
  Shiozaki, T., G. Knizia, and H.-J. Werner
  
• “Identification of models of heterogeneous cell populations from population snapshot data”. In: BMC Bioinformatics 12.1 (2011)
  Hasenauer, J., S. Waldherr, M. Doszczak, N. Radde, P. Scheurich, and F. Allgöwer
  
• “Multi-level Monte Carlo finite element method for elliptic PDEs with stochastic coefficients”. In: Numerische Mathematik 119.1 (2011), pp. 123–161
  Barth, A., C. Schwab, and N. Zollinger
  
• “New finite elements with embedded strong discontinuities for the modeling of failure in electromechanical coupled solids”. In: Computer Methods in Applied Mechanics and Engineering 200.1-4 (2011), pp. 141–161
  Linder, C., D. Rosato, and C. Miehe
  
• “Perception beyond the Here and Now”. In: Computer 44.2 (2011), pp. 86–88
  Schmidt, A., M. Langheinrich, and K. Kersting
  
• “Quasi-static finite element modeling of seismic attenuation and dispersion due to wave-induced fluid flow in poroelastic media”. In: Journal of Geophysical Research 116.B1 (2011), B01201
  Quintal, B., H. Steeb, M. Frehner, and S. M. Schmalholz
  
• “Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints”. In: IEEE Transactions on Automatic Control 56.1 (2011), pp. 145–151
  Munz, U., A. Papachristodoulou, and F. Allgöwer
  
• “The Fragmentation–Recombination Mechanism of the Enzyme Glutamate Mutase Studied by QM/MM Simulations”. In: Journal of the American Chemical Society 133.26 (2011), pp. 10195–10203
  Rommel, J. B. and J. Kästner
  
• “Variational principles in dissipative electro-magnetomechanics: A framework for the macro-modeling of functional materials”. In: International Journal for Numerical Methods in Engineering 86.10 (2011), pp. 1225–1276
  Miehe, C., D. Rosato, and B. Kiefer
  
• “Visualization of Cell-Based Higher-Order Fields”. In: Computing in Science & Engineering 13.3 (2011), pp. 84–91
  Sadlo, F., M. Üffinger, C. Pagot, D. Osmari, J. Comba, T. Ertl, C.-D. Munz, and D. Weiskopf
  
• “A physiologically based, multi-scale model of skeletal muscle structure and function”. In: Frontiers in Physiology 3.358 (2012)
  Röhrle, O., J. B. Davidson, and A. J. Pullan
  
• “An internal model principle is necessary and sufficient for linear output synchronization”. In: Automatica 47.5 (2012), pp. 1068–1074
  Wieland, P., R. Sepulchre, and F. Allgöwer
  
• “Fast relaxation solvers for hyperbolicelliptic phase transition problems”. In: SIAM J. Sci. Comput. 34.3 (2012), A1753–A1776
  Chalons, C., F. Coquel, P. Engel, and C. Rohde
  
• “Finite volume schemes for hyperbolic balance laws with multiplicative noise”. In: Applied Numerical Mathematics 62.4 (2012), pp. 441–456
  Kröker, I. and C. Rohde
  
• “Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography”. In: Water Resources Research 48.4 (W04502) (2012)
  Schöniger, A., W. Nowak, and H.-J. Hendricks Franssen
  
• “A hierarchic family of isogeometric shell finite elements”. In: Computer Methods in Applied Mechanics and Engineering 254 (2013), pp. 170–180
  Echter, R., B. Oesterle, and M. Bischoff
  
• “Determinants of robustness in spindle assembly checkpoint signalling”. In: Nature Cell Biology 15.11 (2013), pp. 1328–1339
  Heinrich, S., E.-M. Geissen, J. Kamenz, S. Trautmann, C. Widmer, P. Drewe, M. Knop, N. Radde, J. Hasenauer, and S. Hauf
  
• “How to adapt applications for the cloud environment”. In: Computing 95.6 (2013), pp. 493–535
  Andrikopoulos, V., T. Binz, F. Leymann, and S. Strauch
  
• “Microstructure and magnetic properties of magnetic fluids consisting of shifted dipole particles under the influence of an external magnetic field”. In: The Journal of Chemical Physics 139.21 (2013), p. 214901
  Weeber, R., M. Klinkigt, S. Kantorovich, and C. Holm
  
• “A Conservative and Convergent Scheme for Undercompressive Shock Waves”. In: SIAM Journal on Numerical Analysis 52.1 (2014), pp. 554–579
  Chalons, C., P. Engel, and C. Rohde
  
• “A Middleware-Centric Optimization Approach for the Automated Provisioning of Services in the Cloud”. In: 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom). 2015, pp. 174–179
  Vukojevic-Haupt, K., S. G. Sáez, F. Haupt, D. Karastoyanova, and F. Leymann
  
• “Application of Sub-Graph Isomorphism to Extract Reoccurring Structures from BPMN 2.0 Process Models”. In: 2015 IEEE Symposium on Service-Oriented System Engineering. 2015, pp. 11–20
  Skouradaki, M., K. Göerlach, M. Hahn, and F. Leymann
  
• “Direct numerical simulation of rigid bodies in multiphase flow within an Eulerian framework”. In: J. Comput. Phys. 291 (2015), pp. 238–253
  Rauschenberger, P. and B. Weigand
  
• “Efficient on-line fault-tolerance for the preconditioned conjugate gradient method”. In: 2015 IEEE 21st International On-Line Testing Symposium (IOLTS). 2015, pp. 95–100
  Schöll, A., C. Braun, M. A. Kochte, and H. Wunderlich
  
• “Investigation of Material Properties for Thermal Imaging-Based Interaction”. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI ’15 (2015)
  Abdelrahman, Y., A. Sahami Shirazi, N. Henze, and A. Schmidt
  
• “MegaMol - a prototyping framework for particle-based visualization”. In: IEEE Transactions on Visualization and Computer Graphics 21.2 (2015), pp. 201–214
  Grottel, S., M. Krone, C. Muller, G. Reina, and T. Ertl
  
• “Photoelasticity Raycasting”. In: Computer Graphics Forum 34.3 (2015), pp. 141–150
  Bußler, M., T. Ertl, and F. Sadlo
  
• “Simulation of protein association: Kinetic pathways towards crystal contacts”. In: Physical Review E 91.3 (2015)
  Taudt, A., A. Arnold, and J. Pleiss
  
• “Visualization of 2D unsteady flow using streamline-based concepts in space-time”. In: Journal of Visualization 19.1 (2015), pp. 115–128
  Karch, G. K., F. Sadlo, D. Weiskopf, and T. Ertl
  
• “A general integral quadratic constraints theorem with applications to a class of sampled-data systems”. In: SIAM J. Control Optim. 54.3 (2016), pp. 1105–1125
  Fetzer, M. and C. W. Scherer
  
• “A multiscale continuum model of skeletal muscle mechanics predicting force enhancement based on actin-titin interaction”. In: Biomechanics and Modeling in Mechanobiology 15.6 (2016), pp. 1423–1437
  Heidlauf, T., T. Klotz, C. Rode, E. Altan, C. Bleiler, T. Siebert, and O. Röhrle
  
• “A Taxonomy and Survey of Dynamic Graph Visualization”. In: Computer Graphics Forum 36.1 (2016), pp. 133–159
  Beck, F., M. Burch, S. Diehl, and D. Weiskopf
  
• “Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software”. In: AIMS Mathematics 1.3 (2016), pp. 261–281
  Fehr, J., J. Heiland, C. Himpe, and J. Saak
  
• “Capacitance of Nanoporous Carbon-Based Supercapacitors Is a Trade-Off between the Concentration and the Separability of the Ions”. In: The Journal of Physical Chemistry Letters 7.19 (2016), pp. 4015–4021
  Burt, R., K. Breitsprecher, B. Daffos, P.-L. Taberna, P. Simon, G. Birkett, X. S. Zhao, C. Holm, and M. Salanne
  
• “Compensating Drift Vector Fields With Gradient Vector Fields for Asymptotic Submanifold Stabilization”. In: IEEE Transactions on Automatic Control 61.2 (2016), pp. 388–399
  Montenbruck, J. M., M. Burger, and F. Allgower
  
• “Flow-Based Temporal Selection for Interactive Volume Visualization”. In: Computer Graphics Forum 36.8 (2016), pp. 153–165
  Frey, S. and T. Ertl
  
• “Global communication schemes for the numerical solution of high-dimensional PDEs”. In: Parallel Computing 52 (2016), pp. 78–105
  Hupp, P., M. Heene, R. Jacob, and D. Pflüger
  
• “Identification of contaminant source architectures-A statistical inversion that emulates multiphase physics in a computationally practicable manner”. In: Water Resources Research 52.2 (2016), pp. 1009–1025
  Koch, J. and W. Nowak
  
• “On-demand provisioning of workflow middleware and services into the cloud: an overview”. In: Computing 99.2 (2016), pp. 147–162
  Vukojevic-Haupt, K., F. Haupt, and F. Leymann
  
• “Parallel coupling numerics for partitioned fluid–structure interaction simulations”. In: Computers & Mathematics with Applications 71.4 (2016), pp. 869–891
  Mehl, M., B. Uekermann, H. Bijl, D. Blom, B. Gatzhammer, and A. van Zuijlen
  
• “Phase field modeling of fracture in multi-physics problems. Part III. Crack driving forces in hydro-poro-elasticity and hydraulic fracturing of fluid-saturated porous media”. In: Computer Methods in Applied Mechanics and Engineering 304 (2016), pp. 619–655
  Miehe C. and Mauthe, S.
  
• “Pushing the limits: How fault tolerance extends the scope of approximate computing”. In: 2016 IEEE 22nd International Symposium on On- Line Testing and Robust System Design (IOLTS) (2016)
  Wunderlich, H.-J., C. Braun, and A. Scholl
  
• “Simulation of underresolved turbulent flows by adaptive filtering using the high order discontinuous Galerkin spectral element method”. In: J. Comput. Phys. 313 (2016), pp. 1–12
  Flad, D., A. Beck, and C.-D. Munz
  
• “The Distributed and Unified Numerics Environment, Version 2.4”. In: Archive of Numerical Software 4.100 (2016)
  Blatt, M., A. Burchardt, A. Dedner, C. Engwer, J. Fahlke, B. Flemisch, C. Gersbacher, C. Gräser, F. Gruber, C. Grüninger, D. Kempf, R. Klöfkorn, T. Malkmus, S. Müthing, M. Nolte, M. Piatkowski, and O. Sander
  
• “A finite volume method for undercompressive shock waves in two space dimensions”. In: ESAIM: Mathematical Modelling and Numerical Analysis 51.5 (2017), pp. 1987–2015
  Chalons, C., C. Rohde, and M. Wiebe
  
• “A Pseudo-Vertical Equilibrium Model for Slow Gravity Drainage Dynamics”. In: Water Resources Research 53.12 (2017), pp. 10491–10507
  Becker, B., B. Guo, K. Bandilla, M. A. Celia, B. Flemisch, and R. Helmig
  
• “A sharp interface method for compressible liquid–vapor flow with phase transition and surface tension”. In: Journal of Computational Physics 336 (2017), pp. 347–374
  Fechter, S., C.-D. Munz, C. Rohde, and C. Zeiler
  
• “Alternative integration algorithms for three-dimensional mortar contact”. In: Comput. Mech. 59.2 (2017), pp. 203–218
  Wilking, C. and M. Bischoff
  
• “Approximation and simulation of infinite-dimensional Lévy processes”. In: Stochastics and Partial Differential Equations: Analysis and Computations 6.2 (2017), pp. 286–334
  Barth, A. and A. Stein
  
• “Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models”. In: Journal of Scientific Computing 74.1 (2017), pp. 197–219
  Martini, I., B. Haasdonk, and G. Rozza
  
• “Convergence of nonlinear finite volume schemes for heterogeneous anisotropic diffusion on general meshes”. In: Journal of Computational Physics 351 (2017), pp. 80–107
  Schneider, M., L. Agélas, G. Enchéry, and B. Flemisch
  
• “Demo: Server-assisted interactive mobile simulations for pervasive applications”. In: 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (2017)
  Dibak, C., F. Durr, and K. Rothermel
  
• “Heat and water transport in soils and across the soil-atmosphere interface: 1. Theory and different model concepts”. In: Water Resources Research 53.2 (2017), pp. 1057–1079
  Vanderborght, J., T. Fetzer, K. Mosthaf, K. M. Smits, and R. Helmig
  
• “Minimization and saddle-point principles for the phasefield modeling of fracture in hydrogels”. In: Computational Materials Science 138 (2017), pp. 474–485
  Böger, L., M.-A. Keip, and C. Miehe
  
• “Phase field modeling of fracture in anisotropic brittle solids”. In: International Journal of Non-Linear Mechanics 97 (2017), pp. 1–21
  Teichtmeister, S., D. Kienle, F. Aldakheel, and M.-A. Keip
  
• “Probabilistic Graph Layout for Uncertain Network Visualization”. In: IEEE Transactions on Visualization and Computer Graphics 23.1 (2017), pp. 531–540
  Schulz, C., A. Nocaj, J. Goertler, O. Deussen, U. Brandes, and D. Weiskopf
  
• “Progressive Direct Volume-to-Volume Transformation”. In: IEEE Transactions on Visualization and Computer Graphics 23.1 (2017), pp. 921–930
  Frey, S. and T. Ertl
  
• “Robust Multisecant Quasi-Newton Variants for Parallel Fluid- Structure Simulations - and Other Multiphysics Applications”. In: SIAM Journal on Scientific Computing 39.5 (2017), S404–S433
  Scheufele, K. and M. Mehl
  
• “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 11.1 (2017)
  Jensch, A., C. Thomaseth, and N. E. Radde
  
• “Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems”. In: SIAM/ASA Journal on Uncertainty Quantification 5.1 (2017), pp. 640–664
  Sinsbeck, M. and W. Nowak
  
• “Server-assisted interactive mobile simulations for pervasive applications”. In: 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom) (2017)
  Dibak, C., A. Schmidt, F. Durr, B. Haasdonk, and K. Rothermel
  
• “The properties of residual water molecules in ionic liquids: a comparison between direct and inverse Kirkwood–Buff approaches”. In: Phys. Chem. Chem. Phys. 19 (29 2017), pp. 18924–18937
  Kobayashi, T., J. E. S. J. Reid, S. Shimizu, M. Fyta, and J. Smiatek
  
• “Using DUNE-ACFem for non-smooth minimization of bounded variation functions”. In: Archive of Numerical Software 5.1 (2017), pp. 3–19
  Alkämper, M. and A. Langer
  
• “A phase-field approach embedded in the Theory of Porous Media for the description of dynamic hydraulic fracturing, Part II: The crack-opening indicator”. In: Computer Methods in Applied Mechanics and Engineering 341 (2018), pp. 429–442
  Ehlers, W. and C. Luo
  
• “An affine microsphere approach to modeling strain-induced crystallization in rubbery polymers”. In: Continuum Mechanics and Thermodynamics 30.3 (2018), pp. 485–507
  Nateghi, A., H. Dal, M.-A. Keip, and C. Miehe
  
• “Analysis of the embedded cell method in 1D for the numerical homogenization of metal-ceramic composite materials”. In: Journal of Applied Analysis 24.1 (2018), pp. 71–80
  Düll, W.-P., B. Hilder, and G. Schneider
  
• “Enabling interactive mobile simulations through distributed reduced models”. In: Pervasive and Mobile Computing 45 (2018), pp. 19–34
  Dibak, C., B. Haasdonk, A. Schmidt, F. Dürr, and K. Rothermel
  
• “Gaussian process regression for geometry optimization”. In: The Journal of Chemical Physics 148.9 (2018), p. 094114
  Denzel, A. and J. Kästner
  
• “Homogenization of hyper-elastic solids using data-driven homogenization and reduced order modeling”. In: European Journal of Mechanics - A/Solids 69 (2018), pp. 201–220
  Fritzen, F. and O. Kunc
  
• “Invariance With Dynamic Multipliers”. In: IEEE Transactions on Automatic Control 63.7 (2018), pp. 1929–1942
  Fetzer, M., C. W. Scherer, and J. Veenman
  
• “Potential energy surface interpolation with neural networks for instanton rate calculations”. In: The Journal of Chemical Physics 148.9 (2018), p. 094106
  Cooper, A. M., P. P. Hallmen, and J. Kästner
  
• “Stochastic thresholds in event-triggered control: a consistent policy for quadratic control”. In: Automatica J. IFAC 89 (2018), pp. 376–381
  Brunner, F. D., D. Antunes, and F. Allgöwer
  
• “Visual Analysis of Inclusion Dynamics in Two-Phase Flow”. In: IEEE Transactions on Visualization and Computer Graphics 24.5 (2018), pp. 1841–1855. ISSN: 1077-2626
  Karch, G. K., F. Beck, M. Ertl, C. Meister, K. Schulte, B. Weigand, T. Ertl, and F. Sadlo
  
• “A microstructurally-based, multi-scale, continuum-mechanical model for the passive behaviour of skeletal muscle tissue”. In: Journal of the Mechanical Behavior of Biomedical Materials 97 (2019), pp. 171–186
  Bleiler, C., P. Ponte Castañeda, and O. Röhrle
  
• “Data-Driven Time Parallelism via Forecasting”. In: SIAM Journal on Scientific Computing 41.3 (2019), B466–B496
  Carlberg, K., L. Brencher, B. Haasdonk, and A. Barth