  The coupling of excited states and ionic dynamics is the basic and
challenging point for the materials response at extreme conditions. In
laboratory, the intense laser produces transient nature and complexity with
highly nonequilibrium states, making it extremely difficult and interesting for
both experimental measurements and theoretical methods. With the inclusion of
laser-excited states, we extended ab initio method into the direct simulations
of whole laser-driven microscopic dynamics from solid to liquid. We constructed
the framework of combining the electron-temperaturedependent deep neural
network potential energy surface with hybrid atomistic-continuum approach,
controlling non-adiabatic energy exchange and atomistic dynamics, which enables
consistent interpretation of experimental data. By large scale ab inito
simulations, we demonstrate that the nonthermal effects introduced by hot
electrons play a dominant role in modulating the lattice dynamics,
thermodynamic pathway, and structural transformation. We highlight that the
present work provides a path to realistic computational studies of laser-driven
processes, thus bridging the gap between experiments and simulations.
