Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

Aik Rui Tan, Shingo Urata, Samuel Goldman +2

Neural networks (NNs) often assign high confidence to their predictions, even for points far out-of-distribution, making uncertainty quantification (UQ) a challenge. When they are…