4 citations · 8 across the 5 of their papers we have counts for
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physics.flu-dyn2025★ 1 cited
Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks
Marius Kurz, Andrea Beck, Benjamin Sanderse
This work proposes a novel methodology for turbulence modeling in Large Eddy Simulation (LES) based on Graph Neural Networks (GNNs), which embeds the discrete rotational, reflectio…
cs.LG2025
Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LES
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
Machine learning-based closure models for LES have shown promise in capturing complex turbulence dynamics but often suffer from instabilities and physical inconsistencies. In this…