143 citations · 348 across the 12 of their papers we have counts for
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cs.CE2020★ 143 cited
A Perspective on Machine Learning Methods in Turbulence Modelling
Andrea Beck, Marius Kurz
This work presents a review of the current state of research in data-driven turbulence closure modeling. It offers a perspective on the challenges and open issues, but also on the…
physics.comp-ph2020★ 15 cited
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…
cs.CE2020★ 1 cited
An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes
Jakob Dürrwächter, Marius Kurz, Patrick Kopper +3
Sliding meshes are a powerful method to treat deformed domains in computational fluid dynamics, where different parts of the domain are in relative motion. In this paper, we presen…