非平衡态热力学
动力学(音乐)
分子动力学
电荷(物理)
量子动力学
量子
统计物理学
载流子
物理
化学物理
量子力学
声学
作者
Bipeng Wang,Yifan Wu,Dongyu Liu,Andrey S. Vasenko,David Casanova,Oleg V. Prezhdo
标识
DOI:10.1021/acs.jpclett.3c02187
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI