347 citations · 744 across the 18 of their papers we have counts for
3 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…
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…
A machine learning framework for LES closure terms
Marius Kurz, Andrea Beck
In the present work, we explore the capability of artificial neural networks (ANN) to predict the closure terms for large eddy simulations (LES) solely from coarse-scale data. To t…