Effective Dynamics and Transition Pathways from Koopman-Inspired Neural Learning of Collective Variables

Alexander Sikorski, Luca Donati, Marcus Weber +1

The ISOKANN (Invariant Subspaces of Koopman Operators Learned by Artificial Neural Networks) framework provides a data-driven route to extract collective variables (CVs) and effect…