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8A perspective on machine learning methods in turbulence modeling
A. Beck, and M. Kurz. GAMM-Mitteilungen, 44 (1): e202100002 (2021)
18 days ago by @unibiblio
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8A neural network based framework to model particle rebound and fracture
A. Schwarz, P. Kopper, J. Keim, H. Sommerfeld, C. Koch, and A. Beck. Wear, (2022)
a month ago by @unibiblio
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3A narrow band-based dynamic load balancing scheme for the level-set ghost-fluid method
D. Appel, S. Jöns, J. Keim, C. Müller, J. Zeifang, and C. Munz. High Performance Computing in Science and Engineering '21 : Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021, page 305-320. Cham, Springer, (2023)
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3Toward discretization-consistent closure schemes for large eddy simulation using reinforcement learning
A. Beck, and M. Kurz. Physics of fluids, 35 (12): 125122 (2023)
3 months ago by @unibiblio
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1GALÆXI Application: NASA Rotor 37
M. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
4 months ago by @unibiblio
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1GALÆXI Verification: Convergence Tests
M. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
4 months ago by @unibiblio
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1GALÆXI Validation: Taylor-Green Vortex
M. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
4 months ago by @unibiblio
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1GALÆXI Scaling
M. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
4 months ago by @unibiblio
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7Shock capturing for a high-order ALE discontinuous Galerkin method with applications to fluid flows in time-dependent domains
M. Gao, P. Mossier, and C. Munz. Computers & fluids, (2024)
7 months ago by @unibiblio
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8An Efficient hp-Adaptive Strategy for a Level-Set Ghost-Fluid Method
P. Mossier, D. Appel, A. Beck, and C. Munz. Journal of scientific computing, 97 (2): 50 (2023)
7 months ago by @unibiblio
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8An Efficient hp-Adaptive Strategy for a Level-Set Ghost-Fluid Method
P. Mossier, D. Appel, A. Beck, and C. Munz. Journal of scientific computing, (2023)
7 months ago by @unibiblio
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5Deep reinforcement learning for computational fluid dynamics on HPC systems
M. Kurz, P. Offenhäuser, D. Viola, O. Shcherbakov, M. Resch, and A. Beck. Journal of computational science, (2022)
8 months ago by @unibiblio
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8A high-order fluid–structure interaction framework with application to shock-wave/turbulent boundary-layer interaction over an elastic panel
M. Gao, D. Appel, A. Beck, and C. Munz. Journal of fluids and structures, 121 (August): 103950 (2023)
8 months ago by @unibiblio
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4A framework for high-fidelity particle tracking on massively parallel systems
P. Kopper, A. Schwarz, S. Copplestone, P. Ortwein, S. Staudacher, and A. Beck. Computer physics communications, 289 (August): 108762 (2023)
10 months ago by @unibiblio
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1Residual estimation for grid modification in wall-modeled large eddy simulation using unstructured high-order methods
M. Blind, A. Kahraman, J. Larsson, and A. Beck. Computers & fluids, (2023)
10 months ago by @unibiblio
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7A sharp interface framework based on the inviscid Godunov-Peshkov-Romenski equations : Simulation of evaporating fluids
C. Müller, P. Mossier, and C. Munz. Journal of computational physics, (2023)
10 months ago by @unibiblio
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7A Reinforcement Learning Based Slope Limiter for Second-Order Finite Volume Schemes
A. Schwarz, J. Keim, S. Chiocchetti, and A. Beck. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 1, page e202200207. Wiley-VCH, (2023)
12 months ago by @unibiblio
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8Deep reinforcement learning for turbulence modeling in large eddy simulations
M. Kurz, P. Offenhäuser, and A. Beck. International journal of heat and fluid flow, 99 (February): 109094 (2023)
a year ago by @unibiblio
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1A time-accurate inflow coupling for zonal LES
M. Blind, J. Kleinert, T. Lutz, and A. Beck. CEAS Aeronautical Journal, (2023)
a year ago by @unibiblio
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11Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows
T. Wenzel, M. Kurz, A. Beck, G. Santin, and B. Haasdonk. Large-Scale Scientific Computing, 13127, page 410-418. Cham, Springer, (2022)
a year ago by @unibiblio
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publications (hide)65
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8A perspective on machine learning methods in turbulence modeling

8A neural network based framework to model particle rebound and fracture

3A narrow band-based dynamic load balancing scheme for the level-set ghost-fluid method

3Toward discretization-consistent closure schemes for large eddy simulation using reinforcement learning

1GALÆXI Application: NASA Rotor 37

1GALÆXI Verification: Convergence Tests

1GALÆXI Validation: Taylor-Green Vortex

1GALÆXI Scaling

7Shock capturing for a high-order ALE discontinuous Galerkin method with applications to fluid flows in time-dependent domains

8An Efficient hp-Adaptive Strategy for a Level-Set Ghost-Fluid Method

8An Efficient hp-Adaptive Strategy for a Level-Set Ghost-Fluid Method

5Deep reinforcement learning for computational fluid dynamics on HPC systems

8A high-order fluid–structure interaction framework with application to shock-wave/turbulent boundary-layer interaction over an elastic panel

4A framework for high-fidelity particle tracking on massively parallel systems

1Residual estimation for grid modification in wall-modeled large eddy simulation using unstructured high-order methods

7A sharp interface framework based on the inviscid Godunov-Peshkov-Romenski equations : Simulation of evaporating fluids

7A Reinforcement Learning Based Slope Limiter for Second-Order Finite Volume Schemes

8Deep reinforcement learning for turbulence modeling in large eddy simulations

1A time-accurate inflow coupling for zonal LES

11Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows

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