We demonstrate that deep learning can be used to perform pure machine learning nonadiabatic excited-state dynamics of molecular systems.
Dral's Group
Practical Computational Chemistry (PCC: QC+ML)
Tag: nonadiabatic dynamics
Machine Learning Accelerates Excited-State Dynamics
Machine learning paves the way for massive simulations of nonadiabatic excited-state molecular dynamics.