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Deep Reinforcement Learning for Turbulence Modeling in Large Eddy
  Simulations

Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations

21 June 2022
Marius Kurz
Philipp Offenhäuser
Andrea Beck
    AI4CE
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations"

5 / 5 papers shown
Title
In Situ Framework for Coupling Simulation and Machine Learning with
  Application to CFD
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD
R. Balin
F. Simini
Cooper Simpson
Andrew Shao
Alessandro Rigazzi
M. Ellis
Stephen Becker
Alireza Doostan
John A. Evans
K. Jansen
AI4CE
29
3
0
22 Jun 2023
Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver
  FLEXI
Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI
Marcel P. Blind
Min Gao
Daniel Kempf
Patrick Kopper
Marius Kurz
A. Schwarz
Andrea Beck
AI4CE
20
4
0
22 Jun 2023
Improving aircraft performance using machine learning: a review
Improving aircraft performance using machine learning: a review
S. L. Clainche
E. Ferrer
Sam Gibson
Elisabeth Cross
A. Parente
Ricardo Vinuesa
AI4CE
25
93
0
20 Oct 2022
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC
  Systems
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems
Marius Kurz
Philipp Offenhäuser
Dominic Viola
Oleksandr Shcherbakov
Michael M. Resch
Andrea Beck
AI4CE
38
22
0
13 May 2022
A Perspective on Machine Learning Methods in Turbulence Modelling
A Perspective on Machine Learning Methods in Turbulence Modelling
Andrea Beck
Marius Kurz
AI4CE
47
101
0
23 Oct 2020
1