EXC 310:  Simulation Technology

• Subject Area: Mechanics and Constructive Mechanical Engineering ; Construction Engineering and Architecture ; Mathematics ; Systems Engineering
• Term: from 2007 to 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 50131014

• Final Report Year: 2020

Final Report Abstract

Scientists and engineers have been constructing models of complex phenomena for centuries. Computational simulation helps us understand important aspects of the systems described, predict system states under different conditions, and derive decisions for controlling them. Simulation technology has become an indispensable tool for research, development, and operations in many different areas. Much of the technological progress in our modern society depends on continual advances in the field of simulation. Since 2007, the Cluster of Excellence EXC 310 “Simulation Technology (SimTech)” at the University of Stuttgart has significantly advanced both breadth and depth of Simulation Science, covering models, methods, and computing from an engineering perspective. EXC 310’s interdisciplinary and methodological profile has had a sustainable impact on shaping the entire University. By installing more than 10 new professorships, it has established modeling and simulation as one of the University’s internationally most visible research foci. SimTech’s long-term mission was to advance simulation to a new level by progressing from isolated approaches to an integrative systems science. Traditional strategies of isolated tools from different disciplines were overcome, while theories and discretization methods were merged into a new class of integrated simulation environments that support all aspects from models to interactive systems. This mission could only be achieved by crossing disciplinary boundaries. SimTech successfully established seven research areas ranging from Molecular Dynamics, Advanced Mechanics, Systems Analysis and Computational Mathematics via Data Management and Visualization to High-Performance Computing and Simulation Software Engineering. An Integrative Platform of Reflection and Contextualization acted as a bracket across its research. Project networks, grouped around central application visions and key methodological challenges, casted the research into a solid and dense network. Through transfer to industrial applications, the Cluster contributed to the economic benefit of our society. SimTech was highly successful in educational measures, support for early career researchers, and promotion of gender equality and diversity. The consecutive study program in Simulation Technology established in 2010 has already resulted in 150 BSc and MSc degrees. Its Graduate School has awarded more than 130 doctoral degrees and 10 researchers received a habilitation. SimTech was instrumental in introducing the tenure track system to the University and 12 junior professors were positively evaluated. 50 young SimTech researchers were appointed to professor positions at the University and all over the world. The Cluster is sustainably institutionalized as a long-term faculty-like structure in the Stuttgart Center for Simulation Science which also holds the new EXC 2075 “Data-Integrated Simulation Science” by building on the success of EXC 310.

Publications

• “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
  (See online at https://doi.org/10.1016/j.jcp.2008.05.025)
• “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
  (See online at https://doi.org/10.1007/s10237-008-0129-y)
• “Continuous scatterplots”. In: IEEE Transactions on Visualization and Computer Graphics 14.6 (2008), pp. 1428–1435
  Bachthaler, S. and D. Weiskopf
  (See online at https://doi.org/10.1109/TVCG.2008.119)
• “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
  (See online at https://doi.org/10.1016/j.margeo.2007.02.005)
• “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
  (See online at https://doi.org/10.1109/tvcg.2008.188)
• “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
  (See online at https://doi.org/10.1002/fld.1926)
• “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
  (See online at https://doi.org/10.1109/tpami.2008.290)
• “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
  (See online at https://doi.org/10.1007/s10514-009-9132-0)
• “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
  (See online at https://doi.org/10.1145/1614379.1614388)
• “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
  (See online at https://doi.org/10.1002/cbic.200800799)
• “Explaining missing answers to SPJUA queries”. In: Proceedings of the VLDB Endowment 3.1 (2010), pp. 185–196
  Herschel, M. and M. A. Hernández
  (See online at https://doi.org/10.14778/1920841.1920869)
• “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
  (See online at https://doi.org/10.1109/tcad.2010.2048399)
• “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
  (See online at https://doi.org/10.1145/1753326.1753646)
• “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
  (See online at https://doi.org/10.1016/j.jcp.2010.06.024)
• “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
  (See online at https://doi.org/10.1103/physrevlett.105.148301)
• “Multilevel particle-partition of unity method”. In: Numerische Mathematik 118.2 (2010), pp. 307–328
  Schweitzer, M. A.
  (See online at https://doi.org/10.1007/s00211-010-0346-z)
• “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
  (See online at https://doi.org/10.1016/j.future.2010.05.010)
• “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
  (See online at https://doi.org/10.1007/s11044-010-9238-3)
• “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
  (See online at https://doi.org/10.1002/cpe.1586)
• “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
  (See online at https://doi.org/10.1029/2011WR010685)
• “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
  (See online at https://doi.org/10.1007/978-3-642-17223-6_4)
• “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
  (See online at https://doi.org/10.1007/s13280-010-0134-0)
• “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
  (See online at https://doi.org/10.1021/jp2026219)
• “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
  (See online at https://doi.org/10.1021/ct200239p)
• “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
  (See online at https://doi.org/10.1016/j.jcp.2010.10.024)
• “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
  (See online at https://doi.org/10.1063/1.3528720)
• “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
  (See online at https://doi.org/10.1186/1471-2105-12-125)
• “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
  (See online at https://doi.org/10.1007/s00211-011-0377-0)
• “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
  (See online at https://doi.org/10.1016/j.cma.2010.07.021)
• “Perception beyond the Here and Now”. In: Computer 44.2 (2011), pp. 86–88
  Schmidt, A., M. Langheinrich, and K. Kersting
  (See online at https://doi.org/10.1109/mc.2011.54)
• “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
  (See online at https://doi.org/10.1029/2010JB007475)
• “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
  (See online at https://doi.org/10.1109/tac.2010.2084150)
• “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
  (See online at https://doi.org/10.1021/ja202312d)
• “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
  (See online at https://doi.org/10.1002/nme.3127)
• “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
  (See online at https://doi.org/10.1109/mcse.2011.53)
• “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
  (See online at https://doi.org/10.3389/fphys.2012.00358)
• “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
  (See online at https://doi.org/10.1016/j.automatica.2011.01.081)
• “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
  (See online at https://doi.org/10.1137/110848815)
• “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
  (See online at https://doi.org/10.1016/j.apnum.2011.01.011)
• “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
  (See online at https://doi.org/10.1029/2011WR010462)
• “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
  (See online at https://doi.org/10.1016/j.cma.2012.10.018)
• “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
  (See online at https://doi.org/10.1038/ncb2864)
• “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
  (See online at https://doi.org/10.1007/s00607-012-0248-2)
• “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
  (See online at https://doi.org/10.1063/1.4832239)
• “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
  (See online at https://doi.org/10.1137/120897821)
• “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
  (See online at https://doi.org/10.1109/CloudCom.2015.86)
• “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
  (See online at https://doi.org/10.1109/SOSE.2015.24)
• “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
  (See online at https://doi.org/10.1016/j.jcp.2015.03.023)
• “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
  (See online at https://doi.org/10.1109/IOLTS.2015.7229839)
• “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
  (See online at https://doi.org/10.1145/2702123.2702290)
• “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
  (See online at https://doi.org/10.1109/TVCG.2014.2350479)
• “Photoelasticity Raycasting”. In: Computer Graphics Forum 34.3 (2015), pp. 141–150
  Bußler, M., T. Ertl, and F. Sadlo
  (See online at https://doi.org/10.1111/cgf.12626)
• “Simulation of protein association: Kinetic pathways towards crystal contacts”. In: Physical Review E 91.3 (2015)
  Taudt, A., A. Arnold, and J. Pleiss
  (See online at https://doi.org/10.1103/PhysRevE.91.033311)
• “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
  (See online at https://doi.org/10.1007/s12650-015-0284-z)
• “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
  (See online at https://doi.org/10.1137/140985482)
• “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
  (See online at https://doi.org/10.1007/s10237-016-0772-7)
• “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
  (See online at https://doi.org/10.1111/cgf.12791)
• “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
  (See online at https://doi.org/10.3934/Math.2016.3.261)
• “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
  (See online at https://doi.org/10.1021/acs.jpclett.6b01787)
• “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
  (See online at https://doi.org/10.1109/TAC.2015.2434032)
• “Flow-Based Temporal Selection for Interactive Volume Visualization”. In: Computer Graphics Forum 36.8 (2016), pp. 153–165
  Frey, S. and T. Ertl
  (See online at https://doi.org/10.1111/cgf.13070)
• “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
  (See online at https://doi.org/10.1016/j.parco.2015.12.006)
• “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
  (See online at https://doi.org/10.1002/2015WR017894)
• “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
  (See online at https://doi.org/10.1007/s00607-016-0521-x)
• “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
  (See online at https://doi.org/10.1016/j.camwa.2015.12.025)
• “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.
  (See online at https://doi.org/10.1016/j.cma.2015.09.021)
• “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
  (See online at https://doi.org/10.1109/iolts.2016.7604686)
• “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
  (See online at https://doi.org/10.1016/j.jcp.2015.11.064)
• “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
  (See online at https://doi.org/10.11588/ans.2016.100.26526)
• “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
  (See online at https://doi.org/10.1051/m2an/2017027)
• “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
  (See online at https://doi.org/10.1002/2017WR021644)
• “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
  (See online at https://doi.org/10.1016/j.jcp.2017.02.001)
• “Alternative integration algorithms for three-dimensional mortar contact”. In: Comput. Mech. 59.2 (2017), pp. 203–218
  Wilking, C. and M. Bischoff
  (See online at https://doi.org/10.1007/s00466-016-1345-4)
• “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
  (See online at https://doi.org/10.1007/s40072-017-0109-2)
• “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
  (See online at https://doi.org/10.1007/s10915-017-0430-y)
• “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
  (See online at https://doi.org/10.1016/j.jcp.2017.09.003)
• “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
  (See online at https://doi.org/10.1109/percomw.2017.7917525)
• “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
  (See online at https://doi.org/10.1002/2016wr019982)
• “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
  (See online at https://doi.org/10.1016/j.commatsci.2017.06.010)
• “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
  (See online at https://doi.org/10.1016/j.ijnonlinmec.2017.06.018)
• “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
  (See online at https://doi.org/10.1109/TVCG.2016.2598919)
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