MACE: Higher order equivariant message passing neural networks for fast and accurate force fields

I Batatia, DP Kovacs, G Simm… - Advances in Neural …, 2022 - proceedings.neurips.cc
Creating fast and accurate force fields is a long-standing challenge in computational
chemistry and materials science. Recently, Equivariant Message Passing Neural Networks …

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

I Batatia, DP Kovacs, GNC Simm, C Ortner… - Advances in Neural …, 2022 - openreview.net
Creating fast and accurate force fields is a long-standing challenge in computational
chemistry and materials science. Recently, Equivariant Message Passing Neural Networks …

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

I Batatia, D Péter Kovács, GNC Simm, C Ortner… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Creating fast and accurate force fields is a long-standing challenge in computational
chemistry and materials science. Recently, several equivariant message passing neural …

[PDF][PDF] MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

I Batatia, DP Kovács, GNC Simm, C Ortner, G Csányi - stat, 2023 - researchgate.net
Creating fast and accurate force fields is a long-standing challenge in computational
chemistry and materials science. Recently, several equivariant message passing neural …

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

I Batatia, DP Kovács, GNC Simm, C Ortner… - arXiv preprint arXiv …, 2022 - arxiv.org
Creating fast and accurate force fields is a long-standing challenge in computational
chemistry and materials science. Recently, several equivariant message passing neural …

MACE: higher order equivariant message passing neural networks for fast and accurate force fields

I Batatia, DP Kovács, GNC Simm, C Ortner… - Proceedings of the 36th …, 2022 - dl.acm.org
Creating fast and accurate force fields is a long-standing challenge in computational
chemistry and materials science. Recently, several equivariant message passing neural …