Correspondence between the reaction force minimum and the onset of abrupt variations of the kinetic and potential energies in bond dissociation and formation

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-08-06 DOI:10.1007/s00894-024-06101-0
Peter Politzer, Soledad Gutiérrez-Oliva, Timothy Clark, Jane S. Murray
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Abstract

Context

We demonstrate that the minimum of the reaction force curve of a diatomic or polyatomic molecule undergoing bond dissociation is significant in several respects. As has been pointed out in the past, it is the point at which the force opposing dissociation is strongest. It marks the boundary between the primarily structural stage of a bond dissociation (stretching) and the transition region between the stretched bond and independent atoms. We now show that the reaction force minimum is also where the kinetic and potential energy curves tend to change direction abruptly. At this point, the total energy E(R) has increased by about 27% of the dissociation energy, for both diatomic and polyatomic molecules.

Methods

Dissociation curves are analyzed at the UHF/daug-cc-pV5Z level of theory using Gaussian 16.

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反应力最小值与键解离和形成过程中动能和势能突然变化的开始之间的对应关系。
背景:我们证明,发生键解离的二原子或多原子分子的反作用力曲线的最小值在几个方面具有重要意义。正如过去所指出的,它是反对解离的力最强的点。它是键解离的主要结构阶段(拉伸)与拉伸键和独立原子之间过渡区域的分界线。我们现在要说明的是,反应力最小值也是动能和势能曲线突然改变方向的地方。在这一点上,无论是二原子分子还是多原子分子,总能量 E(R) 都增加了约 27% 的解离能:方法:使用高斯 16 在 UHF/daug-cc-pV5Z 理论水平上分析解离曲线。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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