Suppr超能文献

原子体系的离子化势能和基本能隙:基于集合密度泛函理论的方法。

Ionization potentials and fundamental gaps in atomic systems from the Ensemble-DFT approach.

机构信息

Fritz Haber Center for Molecular Dynamics and Institute of Chemistry, The Hebrew University of Jerusalem, 9091401 Jerusalem, Israel.

出版信息

J Chem Phys. 2023 Apr 21;158(15). doi: 10.1063/5.0142670.

Abstract

Calculations in Kohn-Sham density functional theory crucially rely on high-quality approximations for the exchange-correlation (xc) functional. Standard local and semi-local approximations fail to predict the ionization potential (IP) and the fundamental gap, departing from the Kohn-Sham orbital energies, due to the deviation of the total energy from piecewise-linearity and the absence of the derivative discontinuity. The ensemble generalization procedure introduced in Phys. Rev. Lett. 110, 126403 (2013) restores, to a large extent, these features in any approximate xc functional and improves its ability to predict the IP and the fundamental gap with negligible additional computational effort. In this work we perform an extensive study of atoms and first ions across the Periodic Table, generalizing the local spin-density and the Perdew-Burke-Ernzerhof approximations. By applying the ensemble generalization to a variety of systems, with s-, p-, and d-character, we assess the accuracy of the method and identify important trends. In particular, we find that the accuracy of our approach heavily depends on the character of the frontier orbitals: when d-orbitals are involved, the performance is far less accurate. Possible sources of error are discussed and ways for further improvement are outlined.

摘要

在 Kohn-Sham 密度泛函理论的计算中,关键依赖于高质量的交换相关(xc)泛函近似。由于总能量偏离分段线性,并且缺乏导数不连续性,标准的局域和半局域近似无法预测电离能(IP)和基本能隙,与 Kohn-Sham 轨道能量偏离。Phys. Rev. Lett. 110, 126403(2013)中引入的集合推广程序在任何近似 xc 泛函中在很大程度上恢复了这些特征,并提高了其预测 IP 和基本能隙的能力,而计算开销可忽略不计。在这项工作中,我们对整个元素周期表中的原子和第一离子进行了广泛的研究,推广了局域自旋密度和 Perdew-Burke-Ernzerhof 近似。通过将集合推广应用于各种具有 s、p 和 d 特征的系统,我们评估了该方法的准确性并确定了重要趋势。特别是,我们发现我们的方法的准确性在很大程度上取决于前沿轨道的特征:当涉及 d 轨道时,性能准确性就会大大降低。讨论了可能的误差源,并提出了进一步改进的方法。

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