Suppr超能文献

开壳层体系的精确与模型交换关联势。

Exact and Model Exchange-Correlation Potentials for Open-Shell Systems.

作者信息

Kanungo Bikash, Hatch Jeffrey, Zimmerman Paul M, Gavini Vikram

机构信息

Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.

Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.

出版信息

J Phys Chem Lett. 2023 Nov 9;14(44):10039-10045. doi: 10.1021/acs.jpclett.3c01713. Epub 2023 Nov 1.

Abstract

The conventional approaches to the inverse density functional theory problem typically assume nondegeneracy of the Kohn-Sham (KS) eigenvalues, greatly hindering their use in open-shell systems. We present a generalization of the inverse density functional theory problem that can seamlessly admit degenerate KS eigenvalues. Additionally, we allow for fractional occupancy of the Kohn-Sham orbitals to also handle noninteracting ensemble-v-representable densities, as opposed to just noninteracting pure-v-representable densities. We present the exact exchange-correlation (XC) potentials for six open-shell systems─four atoms (Li, C, N, and O) and two molecules (CN and CH)─using accurate ground-state densities from configuration interaction calculations. We compare these exact XC potentials with model XC potentials obtained using nonlocal (B3LYP, SCAN0) and local/semilocal (SCAN, PBE, PW92) XC functionals. Although the relative errors in the densities obtained from these DFT functionals are of (10 to 10), the relative errors in the model XC potentials remain substantially large─(10 to 10).

摘要

传统的逆密度泛函理论问题求解方法通常假定Kohn-Sham(KS)本征值是非简并的,这极大地限制了它们在开壳层体系中的应用。我们提出了一种逆密度泛函理论问题的推广形式,它可以无缝接纳简并的KS本征值。此外,我们允许Kohn-Sham轨道的分数占据,以便也能处理非相互作用的系综v-可表示密度,而不仅仅是非相互作用的纯v-可表示密度。我们使用组态相互作用计算得到的精确基态密度,给出了六个开壳层体系(四个原子:锂、碳、氮和氧,以及两个分子:氰基和甲基)的精确交换关联(XC)势。我们将这些精确的XC势与使用非局域(B3LYP、SCAN0)和局域/半局域(SCAN、PBE、PW92)XC泛函得到的模型XC势进行了比较。尽管从这些密度泛函理论泛函得到的密度的相对误差为(10到10),但模型XC势中的相对误差仍然很大,为(10到10)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验