Appel, Daniel, Steven Jöns, Jens Keim, Christoph Müller, Jonas Zeifang, and Claus-Dieter Munz. 2023. “A Narrow Band-Based Dynamic Load Balancing Scheme for the Level-Set Ghost-Fluid Method.” High Performance Computing in Science and Engineering ’21, edited by Wolfgang E. Nagel, Dietmar H. Kröner, and Michael M. Resch, 305–20. Cham: Springer International Publishing.
Beck, Andrea D., David G. Flad, and Claus-Dieter Munz. 2018. “Deep Neural Networks for Data-Driven Turbulence Models.” CoRR abs/1806.04482. http://dblp.uni-trier.de/db/journals/corr/corr1806.html#abs-1806-04482.
Beck, Andrea D., Philip Ortwein, Patrick Kopper, Nico Krais, Daniel Kempf and Christian Koch. 2019. “Towards high-fidelity erosion prediction: On time-accurate particle tracking in turbomachinery.” International Journal of Heat and Fluid Flow 79. Elsevier: 108457. doi:10.1016/j.ijheatfluidflow.2019.108457.
Beck, Andrea D., Jonas Zeifang, Anna Schwarz, and David G. Flad. 2020. “A Neural Network Based Shock Detection and Localization Approach for Discontinuous Galerkin Methods.” Journal of Computational Physics 423. Elsevier: 109824. doi:10.1016/j.jcp.2020.109824.
Beck, Andrea, and Marius Kurz. 2021. “A Perspective on Machine Learning Methods in Turbulence Modeling.” GAMM-Mitteilungen 44 (1). Wiley. doi:10.1002/gamm.202100002.
Beck, Andrea, David Flad, and Claus-Dieter Munz. 2019. “Deep Neural Networks for Data-Driven Les Closure Models.” J. Comput. Physics 398. http://dblp.uni-trier.de/db/journals/jcphy/jcphy398.html#BeckFM19.
Beck, Andrea, Min Gao, Daniel Kempf, Patrick Kopper, Nico Krais, Marius Kurz, Jonas Zeifang, and Claus-Dieter Munz. 2021. “Increasing the Flexibility of the High Order Discontinuous Galerkin Framework Flexi Towards Large Scale Industrial Applications.” High Performance Computing in Science and Engineering’20, 343–58. Springer. doi:10.1007/978-3-030-80602-6_22.
Dürrwächter, Jakob, Marius Kurz, Patrick Kopper, Daniel Kempf, Claus-Dieter Munz, and Andrea Beck. 2021a. “An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes.” Computers & Fluids 217 (March). Elsevier BV: 104825. doi:10.1016/j.compfluid.2020.104825.
Gao, Min, Thomas Kuhn, and Claus‐Dieter Munz. 2022. “On the Investigation of Oblique Shock‐wave/Turbulent Boundary‐layer Interactions with a High‐order Discontinuous Galerkin Method.” International Journal for Numerical Methods in Fluids 94 (8). Wiley: 1331–57. doi:10.1002/fld.5091.
Gao, Min, Pascal Mossier, and Claus-Dieter Munz. 2024. “Shock Capturing for a High-Order Ale Discontinuous Galerkin Method with Applications to Fluid Flows in Time-Dependent Domains.” Computers &Amp; Fluids 269 (January). Elsevier BV: 106124. doi:10.1016/j.compfluid.2023.106124.
Hitz, Timon, Steven Jöns, Matthias Heinen, Jadran Vrabec, and Claus-Dieter Munz. 2021. “Comparison of Macro- and Microscopic Solutions of the Riemann Problem II. Two-Phase Shock Tube.” Journal of Computational Physics 429 (March). Elsevier BV: 110027. doi:10.1016/j.jcp.2020.110027.
Hitz, Timon, Jens Keim, Claus-Dieter Munz, and Christian Rohde. 2020. “A Parabolic Relaxation Model for the Navier-Stokes-Korteweg Equations.” Journal of Computational Physics 421. Elsevier: 109714. doi:10.1016/j.jcp.2020.109714.
Jöns, Steven, and Claus-Dieter Munz. 2023. “Riemann Solvers for Phase Transition in a Compressible Sharp-Interface Method.” Applied Mathematics and Computation 440. Elsevier: 127624. doi:10.1016/j.amc.2022.127624.
Jöns, Steven, Christoph Müller, Jonas Zeifang, and Claus-Dieter Munz. 2021. “Recent Advances and Complex Applications of the Compressible Ghost-Fluid Method.” Recent Advances in Numerical Methods for Hyperbolic PDE Systems, edited by María Luz Muñoz-Ruiz, Carlos Parés, and Giovanni Russo, 155–76. Cham: Springer International Publishing.
Keim, J., A. Schwarz, S. Chiocchetti, C. Rohde, and A. Beck. 2023. “A Reinforcement Learning Based Slope Limiter for Two-Dimensional Finite Volume Schemes.” doi:http://dx.doi.org/10.1007/978-3-031-40860-1_22.
Keim, Jens, Claus-Dieter Munz, and Christian Rohde. 2023. “A Relaxation Model for the Non-Isothermal Navier-Stokes-Korteweg Equations in Confined Domains.” J. Comput. Phys. 474: 111830. doi:https://doi.org/10.1016/j.jcp.2022.111830.
Kempf, Daniel, and Claus-Dieter Munz. 2022a. “Zonal Direct-Hybrid Aeroacoustic Simulation of Trailing Edge Noise Using a High-Order Discontinuous Galerkin Spectral Element Method.” Acta Acustica 6. EDP Sciences: 39. doi:10.1051/aacus/2022030.
Kopper, Patrick, Andrea Beck, Philip Ortwein, Nico Krais, Daniel Kempf, and Christian Koch. 2019. “High-Order Large Eddy Simulation of Particle-Laden Flow in a T106c Low-Pressure Turbine Linear Cascade.” Proceedings of the 8th European Conference for Aeronautics; Space Sciences. Madrid, Spain, 1-4 july 2019. doi:10.13009/EUCASS2019-1022.
Kopper, Patrick, Marius Kurz, Christoph Wenzel, Jakob Dürrwächter, Christian Koch, and Andrea Beck. 2021. “Boundary-Layer Dynamics in Wall-Resolved LES Across Multiple Turbine Stages.” AIAA Journal. American Institute of Aeronautics; Astronautics, 1–14. doi:10.2514/1.J060633.
Kopper, Patrick, Stephen M. Copplestone, Marcel Pfeiffer, Christian Koch, Stefanos Fasoulas, and Andrea Beck. 2022. “Hybrid parallelization of Euler–Lagrange simulations based on MPI-3 shared memory.” Advances in Engineering Software 174. Elsevier BV: 103291 doi:https://doi.org/10.1016/j.advengsoft.2022.103291.
Kopper, Patrick, Anna Schwarz, Stephen M. Copplestone, Philip Ortwein, Stephan Staudacher, and Andrea Beck. 2023. “A Framework for High-Fidelity Particle Tracking on Massively Parallel Systems.” Computer Physics Communications 289. Elsevier. doi:https://doi.org/10.1016/j.cpc.2023.108762.
Kurz, Marius, and Andrea D. Beck. 2021. “Investigating Model-Data Inconsistency in Data-Informed Turbulence Closure Terms.” 14th Wccm-Eccomas Congress 2020, edited by F. Chinesta, R. Abgrall, O. Allix, and M. Kaliske. doi:10.23967/wccm-eccomas.2020.115.
Kurz, Marius, Philipp Offenhäuser, and Andrea Beck. 2023. “Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations.” International Journal of Heat and Fluid Flow 99 (February). Elsevier BV: 109094. doi:10.1016/j.ijheatfluidflow.2022.109094.
Kurz, Marius, Philipp Offenhäuser, Dominic Viola, Michael Resch, and Andrea Beck. 2022. “Relexi a Scalable Open Source Reinforcement Learning Framework for High-Performance Computing.” Software Impacts 14 (December). Elsevier BV: 100422. doi:10.1016/j.simpa.2022.100422.
Mossier, Pascal, Daniel Appel, Andrea D. Beck, and Claus-Dieter Munz. 2023. “An Efficient Hp-Adaptive Strategy for a Level-Set Ghost-Fluid Method.” Journal of Scientific Computing 97 (2): 50. doi:10.1007/s10915-023-02363-7.
Mossier, Pascal, Andrea Beck, and Claus-Dieter Munz. 2022. “A P-Adaptive Discontinuous Galerkin Method with Hp-Shock Capturing.” Joural of Scientific Computing 91 (4). doi:10.1007/s10915-022-01770-6.
Müller, Christoph, Pascal Mossier, and Claus-Dieter Munz. 2023. “A Sharp Interface Framework Based on the Inviscid Godunov-Peshkov-Romenski Equations : Simulation of Evaporating Fluids.” Journal of Computational Physics 473. Elsevier: 111737. doi:10.1016/j.jcp.2022.111737.
Schwarz, Anna, Patrick Kopper, Jens Keim, Heike Sommerfeld, Christian Koch, and Andrea Beck. 2022. “A Neural Network Based Framework to Model Particle Rebound and Fracture.” Wear 508-509 (November). Elsevier BV: 204476. doi:10.1016/j.wear.2022.204476.
Schwarz, Anna, Jens Keim, Simone Chiocchetti, and Andrea Beck. 2023. “A Reinforcement Learning Based Slope Limiter for Second-Order Finite Volume Schemes.” 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (Gamm), edited by Michael Kaliske, e202200207. Proceedings in Applied Mathematics and Mechanics 23, 1. Wiley-VCH. doi:10.1002/pamm.202200207.
Wenzel, Tizian, Marius Kurz, Andrea Beck, Gabriele Santin, and Bernard Haasdonk. 2022. “Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows.” Large-Scale Scientific Computing, edited by Ivan Lirkov and Svetozar Margenov, 410–18. Cham: Springer International Publishing.
Zeifang, Jonas, and Andrea Beck. 2021. “A Data-Driven High Order Sub-Cell Artificial Viscosity for the Discontinuous Galerkin Spectral Element Method.” Journal of Computational Physics 441. Elsevier: 110475. doi:10.1016/j.jcp.2021.110475.