Probing electron-nuclear dynamics of large systems using velocity-gauge real-time time-dependent density functional tight binding
ORAL
Abstract
Excited-state electron-nuclear simulations using time-dependent density functional theory can probe time-resolved dynamics in ultrafast phenomena; however, its high computational cost poses a severe challenge to simulating the large, complex systems in current experiments. In this work, we present a new, efficient excited-state electron-nuclear dynamics approach based on velocity-gauge real-time time-dependent density functional tight binding. Using this approach, we carried out excited-state electron-nuclear dynamics simulations of nanoscale systems for several picoseconds, enabling us to capture various time-resolved ultrafast processes, including excited electron-hole generation/transfer and nonradiative recombination. These simulations are completely beyond the scope of traditional adiabatic molecular dynamics simulations or conventional time-dependent density functional theory. When applied to large, solvated systems, we observe that the presence of water significantly increases the electron-hole recombination time in fullerene, revealing a clear and intuitive physical picture of the generation/diffusion of hole traps in individual water molecules. Our approach presents a new capability for simulating ultrafast, excited-state electron-nuclear dynamics in large systems, providing time-resolved mechanistic insight into their ultrafast processes.
*This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through the Advanced Computing (SciDAC) program under Award Number DE-SC0022209. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award BES-ERCAP0023692, and Google Cloud HPC cluster.
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Presenters
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Qiang Xu
- University of California, Riverside