哈密顿量(控制论)
振动耦合
统计物理学
单调函数
分子动力学
从头算
重复(修辞手法)
物理
从头算量子化学方法
航程(航空)
势能
化学
量子力学
材料科学
激发态
数学
分子
数学分析
数学优化
语言学
哲学
复合材料
作者
Wei Li,Alexey V. Akimov
标识
DOI:10.1021/acs.jpclett.2c02765
摘要
Multiple applied studies of slow nonadiabatic processes in nanoscale and condensed matter systems have adopted the "repetition" approximation in which long trajectories for such simulations are obtained by concatenating shorter trajectories, directly available from ab initio calculations, many times. Here, we comprehensively assess this approximation using model Hamiltonians with parameters covering a wide range of regimes. We find that state transition time scales may strongly depend on the length of the repeated data, although the convergence is not monotonic and may be slow. The repetition approach may under- or overestimate the time scales by a factor of ≤7-8, does not directly depend on the dispersion of energy gap and nonadiabatic coupling (NAC) frequencies, but may depend on the magnitude of the NACs. We suggest that the repetition-based nonadiabatic dynamics may be inaccurate in simulations with very small NACs, where intrinsic transition times are on the order of ≥100 ps.
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