Knowing when to trust machine-learned interatomic potentials

Shams Mehdi, Ilkwon Cho, Olexandr Isayev

Prevailing machine-learned interatomic potential (MLIP) uncertainty-quantification methods rely on ensembles of independently trained backbones. These methods scale unfavorably wit…