| A perspective on machine learning methods in turbulence modeling A Beck, M Kurz GAMM‐Mitteilungen 44 (1), e202100002, 2021 | 113 | 2021 |
| Deep reinforcement learning for turbulence modeling in large eddy simulations M Kurz, P Offenhäuser, A Beck International Journal of Heat and Fluid Flow 99, 109094, 2023 | 53 | 2023 |
| Deep reinforcement learning for computational fluid dynamics on HPC systems M Kurz, P Offenhäuser, D Viola, O Shcherbakov, M Resch, A Beck Journal of Computational Science 65, 101884, 2022 | 33 | 2022 |
| A machine learning framework for LES closure terms M Kurz, A Beck Electronic transactions on numerical analysis 56, 117-137, 2022 | 27 | 2022 |
| An efficient sliding mesh interface method for high-order discontinuous Galerkin schemes J Dürrwächter, M Kurz, P Kopper, D Kempf, CD Munz, A Beck Computers & Fluids 217, 104825, 2021 | 21 | 2021 |
| Relexi—A scalable open source reinforcement learning framework for high-performance computing M Kurz, P Offenhäuser, D Viola, M Resch, A Beck Software Impacts 14, 100422, 2022 | 15 | 2022 |
| Toward discretization-consistent closure schemes for large eddy simulation using reinforcement learning A Beck, M Kurz Physics of Fluids 35 (12), 2023 | 6 | 2023 |
| Investigating Model-Data Inconsistency in Data-Informed Turbulence Closure Terms M Kurz, A Beck 14th WCCM-ECCOMAS Congress 2020 1700, 2021 | 6 | 2021 |
| Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows T Wenzel, M Kurz, A Beck, G Santin, B Haasdonk Large-Scale Scientific Computing: 13th International Conference, LSSC 2021 …, 2022 | 4 | 2022 |
| Boundary-Layer Dynamics in Wall-Resolved LES Across Multiple Turbine Stages P Kopper, M Kurz, C Wenzel, J Dürrwächter, C Koch, A Beck AIAA Journal 59 (12), 5225-5237, 2021 | 4 | 2021 |
| Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI M Blind, M Gao, D Kempf, P Kopper, M Kurz, A Schwarz, A Beck arXiv preprint arXiv:2306.12891, 2023 | 3 | 2023 |
| Development of turbulent inflow methods for the high order HPC framework FLEXI D Kempf, M Gao, A Beck, M Blind, P Kopper, T Kuhn, M Kurz, A Schwarz, ... High Performance Computing in Science and Engineering'21: Transactions of …, 2023 | 3 | 2023 |
| Performance Improvements for Large-Scale Simulations using the Discontinuous Galerkin Framework FLEXI M Blind, P Kopper, D Kempf, M Kurz, A Schwarz, CD Munz, A Beck International Conference on High Performance Computing in Science and …, 2022 | 3 | 2022 |
| Increasing the flexibility of the high order discontinuous Galerkin framework FLEXI towards large scale industrial applications A Beck, M Gao, D Kempf, P Kopper, N Krais, M Kurz, J Zeifang, CD Munz High Performance Computing in Science and Engineering'20: Transactions of …, 2021 | 2 | 2021 |
| GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems D Kempf, M Kurz, M Blind, P Kopper, P Offenhäuser, A Schwarz, S Starr, ... arXiv preprint arXiv:2404.12703, 2024 | | 2024 |
| Machine Learning Methods for Modeling Turbulence in Large Eddy Simulations M Kurz Dr. Hut, 2024 | | 2024 |
| Reinforcement learning based optimization of turbulence closures for wall-bounded flows L Zech, M Kurz, A Beck | | |
