Machine learning kinetics from molecular dynamics data
A common operator viewpoint is developed connecting generator-based partial differential equations, variational principles, Markov state models, dynamical Galerkin approximation, and neural networks with an emphasis on self-supervised methods that learn solutions of their defining dynamical equations rather than relyin...