Suppr超能文献

通讯:用量子保真度的退相表示评估量子分子动力学的非绝热性。

Communications: Evaluation of the nondiabaticity of quantum molecular dynamics with the dephasing representation of quantum fidelity.

机构信息

Laboratory of Theoretical Physical Chemistry, Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.

出版信息

J Chem Phys. 2010 Jun 28;132(24):241101. doi: 10.1063/1.3451266.

Abstract

We propose an approximate method for evaluating the importance of non-Born-Oppenheimer effects on the quantum dynamics of nuclei. The method uses a generalization of the dephasing representation (DR) of quantum fidelity to several diabatic potential energy surfaces and its computational cost is the cost of dynamics of a classical phase space distribution. It can be implemented easily into any molecular dynamics program and also can utilize on-the-fly ab initio electronic structure information. We test the methodology on three model problems introduced by Tully and on the photodissociation of NaI. The results show that for dynamics close to the diabatic limit, the decay of fidelity due to nondiabatic effects is described accurately by the DR. In this regime, unlike the mixed quantum-classical methods such as surface hopping or Ehrenfest dynamics, the DR can capture more subtle quantum effects than the population transfer between potential energy surfaces. Hence we propose using the DR to estimate the dynamical importance of diabatic, spin-orbit, or other couplings between potential energy surfaces. The acquired information can help reduce the complexity of a studied system without affecting the accuracy of the quantum simulation.

摘要

我们提出了一种评估非玻恩-奥本海默效应对核量子动力学影响的近似方法。该方法使用量子保真度的退相表示(DR)对几个绝热势能面的推广,其计算成本是经典相空间分布动力学的成本。它可以很容易地集成到任何分子动力学程序中,并且还可以利用即时的从头算电子结构信息。我们在 Tully 提出的三个模型问题和 NaI 的光解上测试了该方法。结果表明,对于接近绝热极限的动力学,非绝热效应导致的保真度衰减可以通过 DR 准确描述。在这种情况下,与表面跳跃或 Ehrenfest 动力学等混合量子经典方法不同,DR 可以比势能面之间的粒子数转移捕捉到更微妙的量子效应。因此,我们建议使用 DR 来估计势能面之间的非绝热、自旋轨道或其他耦合的动力学重要性。所获得的信息可以帮助降低所研究系统的复杂性,而不会影响量子模拟的准确性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验