Emiel Slootman

Nonadiabatic excited-state dynamics with quantum Monte Carlo-trained machine learning: azomethane as a stringent test

QMC-ML is established as a practical route to nonadiabatic photochemical dynamics with accurate wave-function reference data, targeting photochemical processes in which the electronic character changes along the reaction path and a consistent correlated description is required.