4 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Artur P. Toshev, Gianluca Galletti, Fabian Fritz +2
Machine learning has been successfully applied to grid-based PDE modeling in various scientific applications. However, learned PDE solvers based on Lagrangian particle discretizati…
A variable speed of sound formulation for weakly compressible smoothed particle hydrodynamics
Fabian Thiery, Nikolaus A. Adams, Stefan Adami
We present a Weakly Compressible SPH (WCSPH) formulation with a temporally variable speed of sound. The benefits of a time-varying sound speed formulation and the weaknesses of a c…
Learning Lagrangian Fluid Mechanics with E()-Equivariant Graph Neural Networks
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter +2
We contribute to the vastly growing field of machine learning for engineering systems by demonstrating that equivariant graph neural networks have the potential to learn more accur…
E() Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter +2
We contribute to the vastly growing field of machine learning for engineering systems by demonstrating that equivariant graph neural networks have the potential to learn more accur…