Uncertainty quantification for predictions of atomistic neural networks

Luis Itza Vazquez-Salazar, Eric D. Boittier, M. Meuwly

The value of uncertainty quantification on predictions for trained neural networks (NNs) on quantum chemical reference data is quantitatively explored. For this, the architecture o…