轨道密度近似的局部混合替代降低了自相互作用校正DFT的轨道依赖性和DFT校正相关波函数的过绑定。

IF 3.7 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2025-03-21 DOI:10.1063/5.0251759
Benjamin G Janesko
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引用次数: 0

摘要

本研究提出了用于自相互作用校正密度泛函理论(SIC-DFT)的轨道密度近似的局部混合替代方法,并扩展用于dft校正相关波函数方法(CAS-DFT)。当与标准近似密度泛函结合时,轨道密度近似使SIC-DFT能量强烈依赖于已占轨道间的幺正变换,而使CAS-DFT能量过界。这里提供的替代方法减少了这两种错误。轨道密度近似和局部杂化替代方法可以近似出一个潜在的非对角交换相关空穴。对主动虚关联进行了初步扩展。这些结果激发了SIC-DFT和CAS-DFT中局部混合概念的探索。
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Local hybrid alternatives to the orbital density approximation reduce the orbital dependence of self-interaction corrected DFT and the overbinding of DFT-corrected correlated wavefunctions.

This work presents local hybrid alternatives to the orbital density approximation employed in self-interaction corrected density functional theory (SIC-DFT) and extended for use in DFT-corrected correlated wavefunction approaches (CAS-DFT). When combined with standard approximate density functionals, the orbital density approximation leaves SIC-DFT energies strongly dependent on unitary transforms among occupied orbitals and leaves CAS-DFT energies overbound. The alternatives presented here reduce both errors. The orbital density approximation and the local hybrid alternatives are shown to approximate an underlying nondiagonal exchange-correlation hole. A preliminary extension is presented to active-virtual correlation. These results motivate exploration of local hybrid concepts in SIC-DFT and CAS-DFT.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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