时间可逆的MASH实现高效非绝热分子动力学

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
J. Amira Geuther, Kasra Asnaashari and Jeremy O. Richardson*, 
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引用次数: 0

摘要

在这项工作中,我们描述了用于模拟非绝热动力学的表面跳跃(MASH)映射方法的各种改进实现。这些包括时间可逆和分段连续积分器,由于潜在的MASH运动方程的确定性,这些积分器只能在形式上成为可能。新的算法允许使用波函数重叠或非绝热耦合矢量来传播自旋,从而编码电子状态。对于给定的时间步长Δt,证明了这些方法的全局误差为0 (Δt2),而标准实现的误差为0 (Δt)。这允许更大的时间步长用于期望的误差容限,或者相反,给定固定值Δt的更精确的观测值。因此,新开发的积分器为MASH方法提供了进一步的优势,表明它可以比其他表面跳跃方法更有效地实现,这些方法由于其随机性而无法构建时间可逆积分器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-Reversible Implementation of MASH for Efficient Nonadiabatic Molecular Dynamics

In this work, we describe various improved implementations of the mapping approach to surface hopping (MASH) for simulating nonadiabatic dynamics. These include time-reversible and piecewise-continuous integrators, which are only formally possible because of the deterministic nature of the underlying MASH equations of motion. The new algorithms allow for the use of either wave-function overlaps or nonadiabatic coupling vectors to propagate the spin, which encodes the electronic state. For a given time-step, Δt, it is demonstrated that the global error for these methods is O(Δt2) compared to the O(Δt) error of standard implementations. This allows larger time-steps to be used for a desired error tolerance, or conversely, more accurate observables given a fixed value of Δt. The newly developed integrators thus provide further advantages for the MASH method, demonstrating that it can be implemented more efficiently than other surface-hopping approaches, which cannot construct time-reversible integrators due to their stochastic nature.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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