Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials.

arXiv:2605.08988v2 Announce Type: replace-cross Abstract: Machine Learning Interatomic Potentials play a fundamental role in computational chemistry and materials science, enabling applications from molecular dynamics simulations to drug design and materials d