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消除分子性质计算中的几何因子误差:用于含轻p元素分子几何优化的高效pecG-(= 1, 2)基组

Getaway from the Geometry Factor Error in the Molecular Property Calculations: Efficient pecG- ( = 1, 2) Basis Sets for the Geometry Optimization of Molecules Containing Light p Elements.

作者信息

Rusakov Yuriy Yu, Rusakova Irina L

机构信息

Siberian Branch of the Russian Academy of Sciences, A. E. Favorsky Irkutsk Institute of Chemistry, Favorsky St. 1, 664033 Irkutsk, Russian Federation.

出版信息

J Chem Theory Comput. 2024 Aug 13;20(15):6661-6673. doi: 10.1021/acs.jctc.4c00772. Epub 2024 Jul 29.

DOI:10.1021/acs.jctc.4c00772
PMID:39075034
Abstract

The basis of all molecular property quantum chemical calculations is the correct equilibrium geometry. In this paper, new efficient pecG- ( = 1, 2) basis sets for the geometry optimization of molecules containing hydrogen and p elements of 2-3 periods are proposed. These basis sets were optimized via the property-energy consistent (PEC) algorithm directed to the minimization of the molecular energy gradient relative to the bond lengths. New basis sets are compact and give equilibrium geometries of very high quality, which is comparable to that provided by considerably larger energy-optimized basis sets. The equilibrium geometries obtained with the pecG- ( = 1, 2) basis sets and the other basis sets of diverse quality were tested in the CCSD calculations of different second-order molecular properties, including NMR shielding constants, static polarizabilities, and static magnetizabilities. As a result, new basis sets have demonstrated far superior performance as compared to the other energy-optimized basis sets of the same or close sizes commonly used at the geometry optimization stage.

摘要

所有分子性质量子化学计算的基础是正确的平衡几何结构。本文提出了新的高效pecG-(= 1, 2)基组,用于含氢和2-3周期p元素分子的几何优化。这些基组通过性质-能量一致(PEC)算法进行优化,该算法旨在使分子能量梯度相对于键长最小化。新基组紧凑,能给出质量非常高的平衡几何结构,这与由大得多的能量优化基组所提供的平衡几何结构相当。在不同二阶分子性质(包括NMR屏蔽常数、静态极化率和静态磁化率)的CCSD计算中,测试了用pecG-(= 1, 2)基组和其他不同质量基组得到的平衡几何结构。结果表明,与在几何优化阶段常用的相同或相近大小的其他能量优化基组相比,新基组表现出远为优越的性能。

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