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从表面跳跃到量子动力学,再从量子动力学回到表面跳跃。寻找基本的电子和核自由度和最佳表面跳跃参数。

From Surface Hopping to Quantum Dynamics and Back. Finding Essential Electronic and Nuclear Degrees of Freedom and Optimal Surface Hopping Parameters.

机构信息

Institute of Theoretical Chemistry, Faculty of Chemistry , University of Vienna , 1010 Vienna , Austria.

出版信息

J Phys Chem A. 2019 Sep 26;123(38):8321-8332. doi: 10.1021/acs.jpca.9b06103. Epub 2019 Sep 16.

DOI:10.1021/acs.jpca.9b06103
PMID:31479265
Abstract

We report an efficient iterative procedure that exploits surface-hopping trajectory methods and quantum dynamics to achieve two complementary purposes: to identify the minimum dimensionality of a molecular Hamiltonian in terms of electronic and nuclear degrees of freedom to study radiationless relaxation mechanisms as well as to provide a reference quantum dynamical calculation that allows assessing of the validity of surface-hopping parameters. This double goal is achieved by a feedback loop between surface hopping and MCTDH calculations based on potential energy surfaces parametrized with a linear vibronic coupling method. Initially, a surface hopping calculation in full dimensionality with a chosen set of parameters is performed, and it is repeated, gradually reducing its dimensionality until divergence with the initial calculation is observed or the system is small enough to be treated quantum dynamically. A comparison between the quantum dynamics and surface hopping simulations dictates the validity of the surface hopping parameters. Using these new parameters, the reduction loop is started again, until convergence. As an example, this strategy is applied to simulate the ultrafast intersystem crossing dynamics of [PtBr] in solution. The 15-dimensional space initially including 200 electronic states is reduced to a 9-dimensional problem with 76 electronic states, without a considerable loss of accuracy.

摘要

我们报告了一种有效的迭代程序,该程序利用表面跳跃轨迹方法和量子动力学来实现两个互补的目的:确定分子哈密顿量在电子和核自由度方面的最小维度,以研究无辐射弛豫机制,以及提供参考量子动力学计算,以评估表面跳跃参数的有效性。这一双重目标是通过基于用线性振子耦合方法参数化的势能面的表面跳跃和 MCTDH 计算之间的反馈环来实现的。最初,在具有给定参数的全维空间中执行表面跳跃计算,并重复该计算,逐渐减小其维数,直到观察到与初始计算的分歧或系统足够小以至于可以进行量子动力学处理为止。量子动力学和表面跳跃模拟之间的比较决定了表面跳跃参数的有效性。使用这些新参数,再次启动降维循环,直到收敛。例如,该策略应用于模拟[PtBr]在溶液中的超快系间交叉动力学。最初包括 200 个电子态的 15 维空间减少到 9 维问题,其中有 76 个电子态,而准确性没有明显损失。

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