Nonadiabatic molecular
dynamics provides essential insights into
excited-state processes, but it is computationally intense and simplifications
are needed. The classical path approximation provides critical savings.
Still, long heating and equilibration steps are required. We demonstrate
that practical results can be obtained with short, partially equilibrated
ab initio trajectories. Once the system’s structure is adequate
and essential fluctuations are sampled, the nonadiabatic Hamiltonian
can be constructed. Local structures require only 1–2 ps trajectories,
as demonstrated with point defects in metal halide perovskites. Short
trajectories represent anharmonic motions common in defective structures,
an essential improvement over the harmonic approximation around the
optimized geometry. Glassy systems, such as grain boundaries, require
different simulation protocols, e.g., involving machine learning force
fields. 10-fold shorter trajectories generate 10–20% time scale
errors, which are acceptable, given experimental uncertainties and
other approximations. The practical NAMD protocol enables fast screening
of excited-state dynamics for rapid exploration of new materials.