1 citations · 1 across the 1 of their papers we have counts for
2 papers
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…