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researcher

Philipp Offenhauser

2 papers hereh-index 5106 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.MS1

identity via Semantic Scholar / OpenAlex

most citedDeep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems

54 citations · 72 across the 2 of their papers we have counts for

collaborators

2 papers

cs.MS2024★ 18 cited

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…

cs.LG2022★ 54 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.