Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces

A complete framework for training and recalibrating graph neural network ensemble models to produce accurate predictions of interatomic energy and forces with calibrated uncertainty estimates.