Knowing when to trust machine-learned interatomic potentials
arXiv:2605.00640v1 Announce Type: new
Abstract: Prevailing machine-learned interatomic potential (MLIP) uncertainty-quantification methods rely on ensembles of independently trained backbones. These methods scale unfavorably with foundation-scale MLIP…