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用跃迁路径抽样量子跳跃轨迹研究罕见的非绝热动力学。

Studying rare nonadiabatic dynamics with transition path sampling quantum jump trajectories.

机构信息

Department of Chemistry, University of California, Berkeley, California 94618, USA.

出版信息

J Chem Phys. 2018 Dec 7;149(21):214109. doi: 10.1063/1.5058281.

Abstract

We present a method to study rare nonadiabatic dynamics in open quantum systems using transition path sampling and quantum jump trajectories. As with applications of transition path sampling to classical dynamics, the method does not rely on prior knowledge of transition states or reactive pathways and thus can provide mechanistic insight into ultrafast relaxation processes in addition to their associated rates. In particular, we formulate a quantum path ensemble using the stochastic realizations of an unravelled quantum master equation, which results in trajectories that can be conditioned on starting and ending in particular quantum states. Because the dynamics rigorously obeys detailed balance, rate constants can be evaluated from reversible work calculations in this conditioned ensemble, allowing for branching ratios and yields to be computed in an unbiased manner. We illustrate the utility of this method with three examples: energy transfer in a donor-bridge-acceptor model, and models of photo-induced proton-coupled electron transfer and thermally activated electron transfer. These examples demonstrate the efficacy of path ensemble methods and pave the way for their use in studying complex reactive quantum dynamics.

摘要

我们提出了一种使用过渡路径采样和量子跳跃轨迹研究开放量子系统中稀有非绝热动力学的方法。与过渡路径采样在经典动力学中的应用一样,该方法不依赖于对过渡态或反应途径的先验知识,因此除了提供相关速率外,还可以为超快弛豫过程提供机械洞察力。特别是,我们使用展开量子主方程的随机实现来构造量子路径集合,从而得到可以在特定量子态开始和结束的条件轨迹。由于动力学严格遵守详细平衡,因此可以从条件集合中的可逆功计算中评估速率常数,从而以无偏的方式计算分支比和产率。我们用三个例子说明了该方法的实用性:供体-桥-受体模型中的能量转移,以及光诱导质子耦合电子转移和热激活电子转移模型。这些例子证明了路径集合方法的有效性,并为它们在研究复杂反应量子动力学中的应用铺平了道路。

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