揭示反应路径分岔:通过自然反应轨道对电子运动的洞察

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Tatsuhiro Nakanishi, Takuro Tsutsumi, Yuriko Ono, Kazuki Sada, Tetsuya Taketsugu
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引用次数: 0

摘要

本研究对1-苯基-2-丙烷肟衍生物的贝克曼重排进行了研究,重点从电子运动的角度研究了反应路径的分岔行为。先前的研究报道了吸电子取代基推动反应向重排途径发展,而供电子取代基则倾向于断裂途径。通过自然反应轨道(NRO)分析,研究了电子在关键分支点上的运动,特别是在本征反应坐标(IRC)方向和与分支行为相关的投影振动模式上的运动。NRO方法补充了传统的IRC和从头算分子动力学方法,不仅为预测产品分布提供了有价值的定量见解,而且有助于对所需产品的取代基进行战略性设计。这些发现扩展了我们对反应机制和副产物形成的理解,为复杂的化学转化提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unraveling Reaction Path Bifurcation: Insights Into Electron Movement via Natural Reaction Orbitals

Unraveling Reaction Path Bifurcation: Insights Into Electron Movement via Natural Reaction Orbitals

This study investigates the Beckmann rearrangement of 1-phenyl-2-propanone oxime derivatives, focusing on the reaction path bifurcation behavior from the perspective of electron movement. The previous work reported that electron-withdrawing substituents drove the reaction toward the rearrangement pathway, while electron-donating substituents favored the fragmentation pathway. Through natural reaction orbital (NRO) analysis, this research demonstrates how electrons move at critical branching points, specifically in the directions of the intrinsic reaction coordinate (IRC) and the projected vibrational mode associated with the branching behavior. The NRO approach, which complements traditional IRC and ab initio molecular dynamics methods, not only provides valuable quantitative insights for predicting product distributions but also aids in the strategic design of substituents for desired products. These findings extend our understanding of reaction mechanisms and byproduct formation, offering fresh perspectives on complex chemical transformations.

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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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