Sheng Meng

Scalable photoexcitation-induced molecular dynamics with machine-learned Hamiltonians

Time-dependent ab-initio propagation with electronic machine learning is introduced, a framework that explicitly incorporates electronic evolution into scalable simulations of photoexcitation-induced lattice dynamics and captures coherent phonon dynamics together with their dependence on excitation conditions.