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基于功能的电子动力学与强关联描述:旧问题与新见解

Functional-Based Description of Electronic Dynamic and Strong Correlation: Old Issues and New Insights.

作者信息

Ai Wenna, Fang Wei-Hai, Su Neil Qiang

机构信息

Department of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education) and Renewable Energy Conversion and Storage Center (RECAST), Nankai University, Tianjin 300071, China.

Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.

出版信息

J Phys Chem Lett. 2022 Feb 24;13(7):1744-1751. doi: 10.1021/acs.jpclett.2c00084. Epub 2022 Feb 14.

Abstract

Approximate functionals in Kohn-Sham density functional theory (KS-DFT) and reduced density matrix functional theory (RDMFT) have advantages in dealing with dynamic correlation and strong correlation, respectively; their combination can benefit from complementarity while suffering from the problem of correlation double-counting. Herein, a short-range corrected reduced density matrix (1-RDM) functional is developed to take advantage of the functionals in KS-DFT and RDMFT without double-counting. The resulting functional, denoted as ωP22, outperforms other 1-RDM functionals for the tests of thermochemistry, nonbonded interactions, and bond dissociation energy. In particular, ωP22 shows much less systematic error for systems involving fractional spins, and it can properly predict the energies at both equilibrium and dissociated distances for different single and multiple bonds, which cannot be achieved by commonly used KS-DFT and RDMFT functionals. Therefore, ωP22 is demonstrated effective in balance handling dynamic and strong correlation, and the advances in this work would create new possibilities for the development and application of approximate functionals.

摘要

在Kohn-Sham密度泛函理论(KS-DFT)和约化密度矩阵泛函理论(RDMFT)中,近似泛函分别在处理动态关联和强关联方面具有优势;它们的结合可以从互补性中受益,但存在关联双重计算的问题。在此,开发了一种短程校正约化密度矩阵(1-RDM)泛函,以利用KS-DFT和RDMFT中的泛函而不进行双重计算。所得的泛函记为ωP22,在热化学、非键相互作用和键解离能测试中优于其他1-RDM泛函。特别是,ωP22对于涉及分数自旋的体系显示出小得多的系统误差,并且它可以正确预测不同单键和多键在平衡距离和解离距离处的能量,这是常用的KS-DFT和RDMFT泛函无法实现的。因此,ωP22被证明在平衡处理动态关联和强关联方面是有效的,并且这项工作的进展将为近似泛函的开发和应用创造新的可能性。

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