利用随时间变化的密度矩阵重正化群高效模拟实时分子电子动力学

Imam S. Wahyutama, Henrik R. Larsson
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引用次数: 0

摘要

与基态电子结构优化相比,精确模拟分子实时电子动力学通常要困难得多。在模拟电子动力学时,与时间相关的密度矩阵重正化群(TDDMRG)已被证明在精度和成本之间提供了极具吸引力的折中方案。然而,许多模拟参数会显著影响 TDDMRG 模拟的质量和效率。迄今为止,人们还不清楚地面态 DMRG 的共同智慧是否也适用于 TDDMRG,也缺少如何选择这些参数的指南。在这里,为了建立这样一种指导原则,我们研究了 TDDMRG 模拟主要参数的收敛行为,如时间积分器、轨道的选择以及复值非小星态的 MPS 表示的选择。此外,我们还提出了一种选择轨道的方法,以优化动力学。最后,我们将 TDDMRG 应用于糠醛中的电荷迁移电离动力学,从而展示了在不到飞秒的时间内从具有 $\sigma$ 特征的电离状态到具有 $\pi$ 特征的电离状态的快速转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulating real-time molecular electron dynamics efficiently using the time-dependent density matrix renormalization group
Compared to ground state electronic structure optimizations, accurate simulations of molecular real-time electron dynamics are usually much more difficult to perform. To simulate electron dynamics, the time-dependent density matrix renormalization group (TDDMRG) has been shown to offer an attractive compromise between accuracy and cost. However, many simulation parameters significantly affect the quality and efficiency of a TDDMRG simulation. So far, it is unclear whether common wisdom from ground state DMRG carries over to the TDDMRG, and a guideline on how to choose these parameters is missing. Here, in order to establish such a guideline, we investigate the convergence behavior of the main TDDMRG simulation parameters, such as time integrator, the choice of orbitals, and the choice of MPS representation for complex-valued non-singlet states. In addition, we propose a method to select orbitals that are tailored to optimize the dynamics. Lastly, we showcase the TDDMRG by applying it to charge migration ionization dynamics in furfural, where we reveal a rapid conversion from an ionized state with a $\sigma$ character to one with a $\pi$ character within less than a femtosecond.
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