概率密度分析揭示了二氮和乙炔三键之间的本质差异

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Michel V. Heinz, Emma Gorgas, Nicole Maser, Arne Lüchow
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引用次数: 0

摘要

在早期的出版物中,表明电子位置最大化概率密度|Ψ|2 $$ {\left|\Psi \right|}^2 $$类似于大多数小分子的路易斯结构。这对乙炔的三键是成立的,但对二氮的三键就不是这样了。由于波函数拓扑研究的最新进展,这个特殊的情况被重新审视。本文对二氮的波函数进行了分析,并与乙炔的波函数进行了比较。电子位置最大化|Ψ|2 $$ {\left|\Psi \right|}^2 $$的显著差异被发现并解释为乙炔中氢原子的存在和由氮原子和碳原子计算得出的电子排列。此外,通过研究电子交换路径,可以深入了解这两种分子的电子离域。考虑到二氮和乙炔的不同化学行为,这些差异是意料之中的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Probability Density Analysis Reveals Substantial Differences Between the Dinitrogen and Acetylene Triple Bonds

Probability Density Analysis Reveals Substantial Differences Between the Dinitrogen and Acetylene Triple Bonds

Probability Density Analysis Reveals Substantial Differences Between the Dinitrogen and Acetylene Triple Bonds

In earlier publications, it was shown that the electron positions maximizing the probability density Ψ 2 $$ {\left|\Psi \right|}^2 $$ resemble the Lewis structures for most small molecules. While this holds for the triple bond in acetylene, this is not the case for the triple bond in dinitrogen. Because of recent advances in studying the topology of wave functions, this peculiar case is revisited. In this work, the dinitrogen wave function is analyzed and compared to that of acetylene. Significant differences of the electron positions maximizing Ψ 2 $$ {\left|\Psi \right|}^2 $$ are uncovered and explained by the presence of hydrogen atoms in acetylene and by electron arrangements resulting from calculations of the nitrogen and carbon atoms. Moreover, insights into the electron delocalization of both molecules are gained by investigating electron exchange paths. Considering the different chemical behaviors of dinitrogen and acetylene, these differences should be expected.

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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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