87 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
4 papers
GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems
Daniel Kempf, Marius Kurz, Marcel Blind +6
This work presents GALAEXI as a novel, energy-efficient flow solver for the simulation of compressible flows on unstructured meshes leveraging the parallel computing power of moder…
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability
Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez +8
The increasing global emphasis on sustainability and reducing carbon emissions is pushing governments and corporations to rethink their approach to data center design and operation…
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…