High accuracy uncertainty-aware interatomic force modeling with equivariant Bayesian neural networks

Abstract

Listen

Translate article

We demonstrate, that by using a novel adaptive step size method, high-quality Bayesian neural network inference via Markov chain sampling becomes practically viable for equivariant neural network architectures without a cold posterior effect.