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physics.comp-ph2023★ 56 cited
Deep Ensembles vs. Committees for Uncertainty Estimation in Neural-Network Force Fields: Comparison and Application to Active Learning
Jesús Carrete, Hadrián Montes-Campos, Ralf Wanzenböck +2
A reliable uncertainty estimator is a key ingredient in the successful use of machine-learning force fields for predictive calculations. Important considerations are correlation wi…
physics.comp-ph2021
A Differentiable Neural-Network Force Field for Ionic Liquids
Hadrián Montes-Campos, Jesús Carrete, Sebastian Bichelmaier +2
We present NeuralIL, a model for the potential energy of an ionic liquid that accurately reproduces first-principles results with orders-of-magnitude savings in computational cost.…