347 citations · 744 across the 18 of their papers we have counts for
4 papers · 1 filter
A framework for high-fidelity particle tracking on massively parallel systems
Patrick Kopper, Anna Schwarz, Stephen M. Copplestone +3
Particle-laden flows occur in a wide range of disciplines, from atmospheric flows to renewable energy to turbomachinery. They generally pose a challenging environment for the numer…
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations
Marius Kurz, Philipp Offenhäuser, Andrea Beck
Over the last years, supervised learning (SL) has established itself as the state-of-the-art for data-driven turbulence modeling. In the SL paradigm, models are trained based on a…
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems
Marius Kurz, Philipp Offenhäuser, Dominic Viola +3
Reinforcement learning (RL) is highly suitable for devising control strategies in the context of dynamical systems. A prominent instance of such a dynamical system is the system of…
Hybrid Parallelization of Euler-Lagrange Simulations Based on MPI-3 Shared Memory
Patrick Kopper, Stephen Copplestone, Marcel Pfeiffer +3
The use of Euler-Lagrange methods on unstructured grids extends their application area to more versatile setups. However, the lack of a regular topology limits the scalability of d…