原子-三原子系统的全维耦合通道统计方法及其在 H/D + O3 反应中的应用。

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-09-02 DOI:10.1002/jcc.27500
Dongzheng Yang, Hua Guo
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引用次数: 0

摘要

统计量子模型(SQM)假定反应活性受入口/出口通道量子捕获概率的控制,非常适合具有长寿命中间复合物的化学反应。在这项工作中,针对全维度原子-三原子系统开发了与时间无关的耦合通道 SQM 方法。由于 SQM 以量子力学方式处理俘获动力学,因此能够处理隧道等量子效应。通过在精确的全局势能面上应用新开发的 SQM 方法,对 H/D + O3 捕获动力学进行了详细研究。除极低温度外,该方法与之前在同一势能面上的环聚合物分子动力学(RPMD)结果非常吻合。SQM 结果与现有的实验速率系数也相当吻合。强烈的 H/D 动力同位素效应强调了量子隧道在低温入口通道障碍下的主导作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Full-dimensional coupled-channel statistical approach to atom-triatom systems and applications to H/D + O3 reaction

The statistical quantum model (SQM), which assumes that the reactivity is controlled by entrance/exit channel quantum capture probabilities, is well suited for chemical reactions with a long-lived intermediate complex. In this work, a time-independent coupled-channel implementation of the SQM approach is developed for atom-triatom systems in full dimensionality. As SQM treats the capture dynamics quantum mechanically, it is capable of handling quantum effects such as tunneling. A detailed study of the H/D + O3 capture dynamics was performed by applying the newly developed SQM method on an accurate global potential energy surface. Agreement with previous ring polymer molecular dynamics (RPMD) results on the same potential energy surface is excellent except for very low temperatures. The SQM results are also in reasonably good agreement with available experimental rate coefficients. The strong H/D kinetic isotope effect underscores the dominant role of quantum tunneling under an entrance channel barrier at low temperatures.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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