溶液中的计算能垒与实验能垒:密度泛函近似类型的影响。

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-06-07 DOI:10.1002/jcc.27436
Aurore E. F. Denjean, Jordan Rio, Ilaria Ciofini, Marie-Eve L. Perrin, Pierre-Adrien Payard
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引用次数: 0

摘要

在密度泛函理论水平上对溶液中的有机和有机金属反应进行机理研究现在已被广泛应用,并已成为补充实验研究的常规方法。在众多已开发的函数中选择一个合适的函数,是进行可靠能障计算的第一个挑战。为了给选择可靠的初始计算水平提供指导,我们评估了常用的非经验密度函数(PBE、PBE0、PBE0-DH)和经验密度函数(BLYP、B3LYP、B2PLYP)相对于实验活化焓的性能。大多数用于评估密度泛函性能的反应数据库主要基于高水平计算,这里从文献中选取了一组在溶液中进行的有机和有机金属反应的实验活化焓。总体趋势是非经验函数优于经验函数。混合 PBE0 和双混合 PBE0-DH 密度函数的能垒最为精确,两者的性能相似。无论采用哪种函数,加入 GD3-BJ 经验弥散修正并不能提高计算能垒的精度。
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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Computed versus experimental energy barriers in solution: Influence of the type of the density functional approximation

Mechanistic investigations at the density functional theory level of organic and organometallic reactions in solution are now broadly accessible and routinely implemented to complement experimental investigations. The selection of an appropriate functional among the plethora of developed ones is the first challenge on the way to reliable energy barrier calculations. To provide guidelines for the choice of an initial and reliable computational level, the performances of commonly used non-empirical (PBE, PBE0, PBE0-DH) and empirical density functionals (BLYP, B3LYP, B2PLYP) were evaluated relative to experimental activation enthalpies. Most reactivity databases to assess density functional performances are primarily based on high level calculations, here a set of experimental activation enthalpies of organic and organometallic reactions performed in solution were selected from the literature. As a general trend, the non-empirical functionals outperform the empirical ones. The most accurate energy barriers are obtained with hybrid PBE0 and double-hybrid PBE0-DH density functionals, both providing similar performance. Regardless of the functional under consideration, the addition of the GD3-BJ empirical dispersion correction does not enhance the accuracy of computed energy barriers.

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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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