High-Frequency Tails in Spectral Densities

IF 2.7 2区 化学 Q3 CHEMISTRY, PHYSICAL
Roman Korol*, Xinxian Chen and Ignacio Franco*, 
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引用次数: 0

Abstract

Recent advances in numerically exact quantum dynamics methods have brought the dream of accurately modeling the dynamics of chemically complex open systems within reach. Path-integral-based methods, hierarchical equations of motion, and quantum analog simulators all require the spectral density (SD) of the environment to describe its effect on the system. Here, we focus on the decoherence dynamics of electronically excited species in solution in the common case where nonradiative electronic relaxation dominates and is much slower than electronic dephasing. We show that the computed relaxation rate is highly sensitive to the choice of SD representation─such as the Drude–Lorentz or Brownian modes─or strategy used to capture the main SD features, even when early–time dephasing dynamics remains robust. The key reason is that electronic relaxation is dominated by the resonant contribution from the high-frequency tails of the SD, which are orders of magnitude weaker than the main features of the SD and can vary significantly between strategies. This finding highlights an important, yet overlooked, numerical challenge: obtaining an accurate SD requires capturing its structure over several orders of magnitude to ensure correct decoherence dynamics at both early and late times. To address this, we provide a simple transformation that recovers the correct relaxation rates in quantum simulations constrained by algorithmic or physical limitations on the shape of the SD. Our findings enable a comparison of different numerically exact simulation methods and expand the capabilities of analog simulations of open quantum dynamics.

频谱密度中的高频尾
数值精确量子动力学方法的最新进展使精确模拟化学复杂开放系统动力学的梦想成为可能。基于路径积分的方法、层次运动方程和量子模拟模拟器都需要环境的谱密度(SD)来描述其对系统的影响。在这里,我们关注的是在非辐射电子弛豫占主导地位且比电子减相慢得多的情况下,溶液中电子激发态的退相干动力学。我们的研究表明,计算得到的弛豫率对SD表示的选择(如德鲁德-洛伦兹模式或布朗模式)或用于捕捉主要SD特征的策略高度敏感,即使在早期去相动力学仍然稳健的情况下也是如此。关键原因是电子弛豫主要是由SD高频尾的谐振贡献所主导的,这些谐振尾比SD的主要特征弱几个数量级,并且在不同的策略之间变化很大。这一发现突出了一个重要的,但被忽视的数值挑战:获得准确的SD需要捕获其几个数量级的结构,以确保在早期和后期都有正确的退相干动力学。为了解决这个问题,我们提供了一个简单的转换,可以在受SD形状的算法或物理限制的量子模拟中恢复正确的弛豫速率。我们的研究结果能够比较不同的数值精确模拟方法,并扩展开放量子动力学的模拟模拟能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
The Journal of Physical Chemistry A
The Journal of Physical Chemistry A 化学-物理:原子、分子和化学物理
CiteScore
5.20
自引率
10.30%
发文量
922
审稿时长
1.3 months
期刊介绍: The Journal of Physical Chemistry A is devoted to reporting new and original experimental and theoretical basic research of interest to physical chemists, biophysical chemists, and chemical physicists.
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