A dual-cutoff machine-learned potential for condensed organic systems obtained via uncertainty-guided active learning

Leonid Kahle, Benoit Minisini, Tai Bui +4

Machine-learned potentials (MLPs) trained on ab initio data combine the computational efficiency of classical interatomic potentials with the accuracy and generality of the first-p…