Marius Kurz

According to our database, Marius Kurz authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

PyHOPE: A Python Toolkit for Three-Dimensional Unstructured High-Order Meshes.

Patrick Kopper, Marcel Blind, Anna Schwarz, Marius Kurz, Felix Rodach, Stephen M. Copplestone, Andrea D. Beck

J. Open Source Softw., December, 2025

Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks.

Marius Kurz, Andrea Beck, Benjamin Sanderse

CoRR, April, 2025

Invariant Control Strategies for Active Flow Control using Graph Neural Networks.

Marius Kurz, Rohan Kaushik, Marcel Blind, Patrick Kopper, Anna Schwarz, Felix Rodach, Andrea Beck

CoRR, March, 2025

GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.

Marius Kurz, Daniel Kempf, Marcel Blind, Patrick Kopper, Philipp Offenhäuser, Anna Schwarz, Spencer Starr, Jens Keim, Andrea Beck

Comput. Phys. Commun., 2025

2024

GAL{\AE}XI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.

Daniel Kempf, Marius Kurz, Marcel Blind, Patrick Kopper, Philipp Offenhäuser, Anna Schwarz, Spencer Starr, Jens Keim, Andrea Beck

CoRR, 2024

2023

Toward Discretization-Consistent Closure Schemes for Large Eddy Simulation Using Reinforcement Learning.

Andrea Beck, Marius Kurz

CoRR, 2023

Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI.

Marcel Blind, Min Gao, Daniel Kempf, Patrick Kopper, Marius Kurz, Anna Schwarz, Andrea Beck

CoRR, 2023

2022

Relexi - A scalable open source reinforcement learning framework for high-performance computing.

Marius Kurz, Philipp Offenhäuser, Dominic Viola, Michael Resch, Andrea Beck

Softw. Impacts, December, 2022

Deep reinforcement learning for computational fluid dynamics on HPC systems.

Marius Kurz, Philipp Offenhäuser, Dominic Viola, Oleksandr Shcherbakov, Michael M. Resch, Andrea Beck

J. Comput. Sci., 2022

Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations.

Marius Kurz, Philipp Offenhäuser, Andrea Beck

CoRR, 2022

2021

Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows.

Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2020

A Perspective on Machine Learning Methods in Turbulence Modelling.

Andrea Beck, Marius Kurz

CoRR, 2020

A machine learning framework for LES closure terms.

Marius Kurz, Andrea Beck

CoRR, 2020

An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes.

Jakob Dürrwächter, Marius Kurz, Patrick Kopper, Daniel Kempf, Claus-Dieter Munz, Andrea Beck

CoRR, 2020