在无限制Kohn-Sham和杂化1-电子降密度矩阵泛函理论中对静态相关响应的基准和对比交换相关泛函差异。

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Journal of Chemical Theory and Computation Pub Date : 2025-05-27 Epub Date: 2025-05-12 DOI:10.1021/acs.jctc.5c00244
Daniel Gibney, Jan-Niklas Boyn
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引用次数: 0

摘要

最近,一种混合的Kohn-Sham密度泛函理论(KS-DFT)和1电子简化密度矩阵泛函理论(1-RDMFT)被开发出来,以平均场计算成本来描述强相关系统。这种方法依赖于结合减少密度矩阵泛函来捕获强相关效应,并结合现有的交换相关(XC)泛函来捕获剩余的动态相关效应。在这项工作中,我们系统地对这个DFA - rdmft框架中LibXC中可用的近200种不同的XC函数的性能进行了基准测试,并将其与不受限制的KS-DFT中的性能进行了对比。我们确定了在DFA 1-RDMFT中使用的最佳XC功能,并阐明了不同XC功能对DFA 1-RDMFT和uk - dft中强相关性的响应的基本趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benchmarking and Contrasting Exchange-Correlation Functional Differences in Response to Static Correlation in Unrestricted Kohn-Sham and a Hybrid 1-Electron Reduced Density Matrix Functional Theory.

A hybrid Kohn-Sham Density Functional Theory (KS-DFT) and 1-electron Reduced Density Matrix Functional Theory (1-RDMFT) has recently been developed to describe strongly correlated systems at mean-field computational cost. This approach relies on combining a Reduced Density Matrix Functional to capture strong correlation effects with existing exchange correlation (XC) functionals to capture the remaining dynamical correlation effects. In this work, we systematically benchmark the performance of nearly 200 different XC functionals available within LibXC in this DFA 1-RDMFT framework, contrasting it with their performance in unrestricted KS-DFT. We identify optimal XC functionals for use within DFA 1-RDMFT and elucidate fundamental trends in the response of different XC functionals to strong correlation in both DFA 1-RDMFT and UKS-DFT.

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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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