Suppr超能文献

密度矩阵校正与密度泛函理论的比较

Comparison of Density-Matrix Corrections to Density Functional Theory.

作者信息

Gibney Daniel, Boyn Jan-Niklas, Mazziotti David A

机构信息

Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637 United States.

出版信息

J Chem Theory Comput. 2022 Nov 8;18(11):6600-6607. doi: 10.1021/acs.jctc.2c00625. Epub 2022 Oct 26.

Abstract

Density functional theory (DFT), one of the most widely utilized methods available to computational chemistry, fails to describe systems with statically correlated electrons. To address this shortcoming, in previous work, we transformed DFT into a one-electron reduced density matrix theory (1-RDMFT) via the inclusion of a quadratic one-electron reduced density matrix (1-RDM) correction. Here, we combine our 1-RDMFT approach with different DFT functionals as well as Hartree-Fock to elucidate the method's dependence on the underlying functional selection. Furthermore, we generalize the information density matrix functional theory (iDMFT), recently developed as a correction to the Hartree-Fock method, by incorporating density functionals in place of the Hartree-Fock functional. We relate iDMFT mathematically to our approach and benchmark the two with a common set of functionals and systems.

摘要

密度泛函理论(DFT)是计算化学中应用最广泛的方法之一,但它无法描述具有静态相关电子的体系。为了解决这一缺点,在之前的工作中,我们通过纳入二次单电子约化密度矩阵(1-RDM)校正,将DFT转化为单电子约化密度矩阵理论(1-RDMFT)。在此,我们将1-RDMFT方法与不同的DFT泛函以及哈特里-福克方法相结合,以阐明该方法对基础泛函选择的依赖性。此外,我们通过纳入密度泛函取代哈特里-福克泛函,推广了最近作为对哈特里-福克方法的校正而发展起来的信息密度矩阵泛函理论(iDMFT)。我们在数学上把iDMFT与我们的方法联系起来,并用一组共同的泛函和体系对两者进行基准测试。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验