SelfTICA: contrastive learning of dynamical representations for rare-event sampling and characterization

Kai Zhu, Jintu Zhang, Pietro Novelli +2

Rare events govern many important molecular processes but remain difficult to characterize within accessible simulation timescales. This challenge has motivated machine-learning me…