Charge transfer interaction revisited by a Fermi-Dirac derived approach

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-08-13 DOI:10.1007/s00894-024-06097-7
Oscar Gayraud, Frédéric Guégan
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Abstract

Context

In this article, we adapt a recent proposition to use a Fermi-Dirac-type population scheme on Kohn-Sham molecular orbitals to the case of an interaction with a thermalised electrode. This allows to derive a fundamental non-linear equation linking the chemical potential of the electrode and the amount of charge transferred to the system under study, hence allows to quantify the propensity to charge transfer (philicity). This methodology is applied to a large set of common electrophiles and nucleophiles, showing decent relation with more standard philicity descriptors. Chemical hardness is also revisited by this approach.

Methods

All calculations were performed using the Gaussian 16 software package at the M062X/aug-cc-pvtz level of theory. Data analysis was then performed through a Python3 dedicated program (relying on the fsolve numerical solver from the SciPy package), using Gaussian output files, and available as supplementary material.

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用费米-狄拉克推导法重新审视电荷转移相互作用
背景:在这篇文章中,我们将最近提出的关于在 Kohn-Sham 分子轨道上使用费米-狄拉克(Fermi-Dirac)型种群方案的建议应用于与热化电极相互作用的情况。这样就可以推导出一个基本的非线性方程,将电极的化学势与转移到所研究系统中的电荷量联系起来,从而量化电荷转移倾向(philicity)。这种方法适用于大量常见的亲电体和亲核体,显示出与更标准的电荷转移倾向描述符之间的良好关系。这种方法还重新审视了化学硬度:所有计算均使用高斯 16 软件包在 M062X/aug-cc-pvtz 理论水平上进行。然后通过 Python3 专用程序(依靠 SciPy 软件包中的 fsolve 数值求解器),使用高斯输出文件进行数据分析,并作为补充材料提供。
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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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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