Learning lagrangian fluid mechanics with e (3)-equivariant graph neural networks AP Toshev, G Galletti, J Brandstetter, S Adami, NA Adams
International Conference on Geometric Science of Information, 332-341, 2023
4 2023 Lagrangebench: A lagrangian fluid mechanics benchmarking suite A Toshev, G Galletti, F Fritz, S Adami, N Adams
Advances in Neural Information Processing Systems 36, 2024
2 2024 On the relationships between graph neural networks for the simulation of physical systems and classical numerical methods AP Toshev, L Paehler, A Panizza, NA Adams
arXiv preprint arXiv:2304.00146, 2023
2 2023 Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics AP Toshev, JA Erbesdobler, NA Adams, J Brandstetter
arXiv preprint arXiv:2402.06275, 2024
1 2024 JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework AP Toshev, H Ramachandran, JA Erbesdobler, G Galletti, J Brandstetter, ...
arXiv preprint arXiv:2403.04750, 2024
2024 Accelerating Molecular Graph Neural Networks via Knowledge Distillation F Ekström Kelvinius, D Georgiev, A Toshev, J Gasteiger
Advances in Neural Information Processing Systems 36, 2024
2024 Accelerating Molecular Graph Neural Networks via Knowledge Distillation FE Kelvinius, D Georgiev, AP Toshev, J Gasteiger
arXiv preprint arXiv:2306.14818, 2023
2023 E( AP Toshev, G Galletti, J Brandstetter, S Adami, NA Adams
arXiv preprint arXiv:2304.00150, 2023
2023 