Tao Guohua
School of Advanced Materials, Peking University Shenzhen Graduate School , Shenzhen 518055, China.
Shenzhen Key Laboratory of New Energy Materials by Design, Peking University , Shenzhen 518055, China.
J Phys Chem Lett. 2016 Nov 3;7(21):4335-4339. doi: 10.1021/acs.jpclett.6b01857. Epub 2016 Oct 20.
Accurately describing nuclear motion is crucial in electronically nonadiabatic dynamics simulations. In this work, a coherence-controlled (CC) approach is proposed based on the mapping between the classical state space and the full electronic matrix and that between the decomposed state space and different nuclear dynamics that allows nuclear motion to properly follow either Ehrenfest dynamics in the coherence domain or Born-Oppenheimer-like dynamics in the single-state domain in a consistent manner. This new method is applied to several benchmark models involving nonadiabatic transitions in two-state or three-state systems, and the obtained results are in excellent agreement with exact quantum calculations. As a generalization of the recently developed symmetrical quasiclassical approach and the augmented image (AI) version of the multistate trajectory approach, the proposed method is extremely efficient and numerically stable. Therefore, it has great potential for implementation in nonadiabatic molecular dynamics simulations for realistic complex systems, such as materials and biological molecules.
在电子非绝热动力学模拟中,准确描述核运动至关重要。在这项工作中,基于经典状态空间与全电子矩阵之间的映射以及分解状态空间与不同核动力学之间的映射,提出了一种相干控制(CC)方法,该方法允许核运动以一致的方式在相干域中恰当地遵循埃伦费斯特动力学,或在单态域中遵循类玻恩 - 奥本海默动力学。这种新方法被应用于几个涉及二态或三态系统中非绝热跃迁的基准模型,所得结果与精确量子计算结果高度吻合。作为最近发展的对称准经典方法和多态轨迹方法的增强图像(AI)版本的推广,该方法极其高效且数值稳定。因此,它在诸如材料和生物分子等实际复杂系统的非绝热分子动力学模拟中具有巨大的实现潜力。