更纤薄的金属,用于精确的F12电子结构模型。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Samuel R. Powell, , , Kshitijkumar A. Surjuse, , , Bimal Gaudel, , and , Edward F. Valeev*, 
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引用次数: 0

摘要

最初为二阶Mo * ller-Plesset F12方法调整的Slater-type F12二元长度尺度对于使用SP(对角固定系数自旋适应)F12 ansatz制定的高阶F12方法来说太大了。本文所报道的新二元参数显著降低了绝对耦合簇单双F12相关能的基集不完备性误差(bsi),并随着基集裕度基数的增加而增加。对于cc-pVXZ-F12基集(专门设计用于F12方法),相对于传统的aug-cc-pVXZ基集,二次优化的效果尤其明显。相对能量的bsi受影响较小,但在cc-pVXZ-F12基组下,原子化能和电离势的bsi有较大的降低。因此,建议在所有高阶F12方法(如耦合簇F12方法和跨相关F12方法)的应用中使用新的二次参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slimmer Geminals For Accurate F12 Electronic Structure Models

The Slater-type F12 geminal length scales originally tuned for the second-order Mo̷ller-Plesset F12 method are too large for higher-order F12 methods formulated using the SP (diagonal fixed-coefficient spin-adapted) F12 ansatz. The new geminal parameters reported herein reduce the basis set incompleteness errors (BSIEs) of absolute coupled-cluster singles and doubles F12 correlation energies by a significant─and increase with the cardinal number of the basis─margin. The effect of geminal reoptimization is especially pronounced for the cc-pVXZ-F12 basis sets (specifically designed for use with F12 methods) relative to their conventional aug-cc-pVXZ counterparts. The BSIEs of relative energies are less affected, but substantial reductions can be obtained, especially for atomization energies and ionization potentials with the cc-pVXZ-F12 basis sets. The new geminal parameters are therefore recommended for all applications of high-order F12 methods, such as coupled-cluster F12 methods and transcorrelated F12 methods.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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