Deep neural networks for data-driven LES closure models A Beck, D Flad, CD Munz Journal of Computational Physics 398, 108910, 2019 | 290 | 2019 |
On the accuracy of high-order discretizations for underresolved turbulence simulations GJ Gassner, AD Beck Theoretical and Computational Fluid Dynamics 27 (3), 221-237, 2013 | 272 | 2013 |
Explicit discontinuous Galerkin methods for unsteady problems F Hindenlang, GJ Gassner, C Altmann, A Beck, M Staudenmaier, ... Computers & Fluids 61, 86-93, 2012 | 260 | 2012 |
High‐order discontinuous Galerkin spectral element methods for transitional and turbulent flow simulations AD Beck, T Bolemann, D Flad, H Frank, GJ Gassner, F Hindenlang, ... International Journal for Numerical Methods in Fluids 76 (8), 522-548, 2014 | 248 | 2014 |
FLEXI: A high order discontinuous Galerkin framework for hyperbolic–parabolic conservation laws N Krais, A Beck, T Bolemann, H Frank, D Flad, G Gassner, F Hindenlang, ... Computers & Mathematics with Applications 81, 186-219, 2021 | 123 | 2021 |
A Perspective on Machine Learning Methods in Turbulence Modelling A Beck, M Kurz GAMM-Mitteilungen 44, 2020 | 104 | 2020 |
Simulation of underresolved turbulent flows by adaptive filtering using the high order discontinuous Galerkin spectral element method D Flad, A Beck, CD Munz Journal of Computational Physics 313, 1-12, 2016 | 71 | 2016 |
A Neural Network based Shock Detection and Localization Approach for Discontinuous Galerkin Methods A Beck, J Zeifang, A Schwarz, D Flad Journal of Computational Physics, 2020 | 57 | 2020 |
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 | 46 | 2023 |
On the influence of polynomial de-aliasing on subgrid scale models AD Beck, DG Flad, C Tonhäuser, G Gassner, CD Munz Flow, Turbulence and Combustion 97, 475-511, 2016 | 44 | 2016 |
A discontinuous Galerkin spectral element method for the direct numerical simulation of aeroacoustics D Flad, AD Beck, G Gassner, CD Munz 20th AIAA/CEAS aeroacoustics conference, 2740, 2014 | 35 | 2014 |
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 | 32 | 2022 |
A novel full-Euler low Mach number IMEX splitting J Zeifang, J Schuetz, K Kaiser, A Beck, M Lukácová-Medvid’ová, S Noelle Communications in Computational Physics 27 (1), 292-320, 2020 | 32 | 2020 |
An efficient high performance parallelization of a discontinuous Galerkin spectral element method C Altmann, AD Beck, F Hindenlang, M Staudenmaier, GJ Gassner, ... Facing the Multicore-Challenge III: Aspects of New Paradigms and …, 2013 | 31 | 2013 |
Simulation of real gas effects in supersonic methane jets using a tabulated equation of state with a discontinuous Galerkin spectral element method F Hempert, S Boblest, T Ertl, F Sadlo, P Offenhäuser, CW Glass, ... Computers & Fluids 145, 167-179, 2017 | 29 | 2017 |
A machine learning framework for LES closure terms M Kurz, A Beck https://www.researchgate.net/publication …, 2020 | 25 | 2020 |
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 | 22 | 2021 |
High fidelity scale-resolving computational fluid dynamics using the high order discontinuous Galerkin spectral element method M Atak, A Beck, T Bolemann, D Flad, H Frank, CD Munz High Performance Computing in Science and Engineering´ 15: Transactions of …, 2016 | 21 | 2016 |
High velocity measurements of particle rebound characteristics under erosive conditions of high pressure compressors H Sommerfeld, C Koch, A Schwarz, A Beck Wear 470, 203626, 2021 | 20 | 2021 |
Efficient high-order discontinuous Galerkin computations of low Mach number flows J Zeifang, K Kaiser, A Beck, J Schütz, CD Munz Communications in Applied Mathematics and Computational Science 13 (2), 243-270, 2018 | 19 | 2018 |