How machine-learned potentials break the limitations of system-size or accuracy, how active-learning will aid their development, how they are applied, and how they may become a more widely used approach are discussed.
Alán Aspuru-Guzik
14 papers
Pascal Friederich
5 papers
F. Häse
1 papers
J. Proppe