Philipp Marquetand

Machine Learning for Nonadiabatic Molecular Dynamics

Nonadiabatic molecular dynamics simulations are one of the most important theoretical tools to study fundamental processes, such as photosynthesis or vision, but they are seriously limited by the expense of the underlying quantum chemistry calculations. Long n