激发态
正常模式
自由度(物理和化学)
联轴节(管道)
维数之咒
分子振动
放松(心理学)
振动
分子动力学
过程(计算)
统计物理学
计算机科学
从头算
运动(物理)
模式(计算机接口)
物理
生物系统
分子物理学
化学
材料科学
分子
计算化学
原子物理学
人工智能
量子力学
心理学
冶金
社会心理学
生物
操作系统
作者
Hassiel Negrín-Yuvero,Victor M. Freixas,Beatriz Rodríguez-Hernández,G. Rojas-Lorenzo,Sergei Tretiak,Adolfo Bastida,Sebastian Fernández-Alberti
标识
DOI:10.1021/acs.jctc.0c00930
摘要
Ab initio molecular dynamics (AIMD) simulation, analyzed in terms of vibrational normal modes, is a widely used technique that facilitates understanding of complex structural motions and coupling between electronic and nuclear degrees of freedom. Usually, only a subset of vibrations is directly involved in the process of interest. The impact of these vibrations can be evaluated by performing AIMD simulations by selectively freezing certain motions. Herein, we present frozen normal mode (FrozeNM), a new algorithm to apply normal-mode constraints in AIMD simulations, as implemented in the nonadiabatic excited state molecular dynamics code. We further illustrate its capacity by analyzing the impact of normal-mode constraints on the photoinduced energy transfer between polyphenylene ethynylene dendrimer building blocks. Our results show that the electronic relaxation can be significantly slowed down by freezing a well-selected small subset of active normal modes characterized by their contributions in the direction of energy transfer. The application of these constraints reduces the nonadiabatic coupling between electronic excited states during the entire dynamical simulations. Furthermore, we validate reduced dimensionality models by freezing all the vibrations, except a few active modes. Altogether, we consider FrozeNM as a useful tool that can be broadly used to underpin the role of vibrational motion in a studied process and to formulate reduced models that describe essential physical phenomena.
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