基于DFT强相互作用极限数学结构的密度泛函

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Stefan Vuckovic, Augusto Gerolin, Timothy J. Daas, Hilke Bahmann, Gero Friesecke, Paola Gori-Giorgi
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引用次数: 13

摘要

虽然在原理上是精确的,但Kohn-Sham密度泛函理论——计算化学的主力——必须依赖于交换相关泛函的近似。尽管取得了惊人的成功,但当电子-电子相关的影响发挥突出作用时,目前的近似仍然很困难。电子库仑斥力完全支配交换相关函数的极限提供了一个定义良好的数学框架,为能够处理强相关性的新近似提供了见解。特别是,这个极限的数学结构,由于其作为最优运输问题的重新表述,现在已经得到了完善,它指出了与目前近似中使用的传统成分(或特征)截然不同的成分(或特征)的使用。我们专注于使用这些新成分来构建计算化学近似的策略,并强调未来有希望的方向。本文分类如下:
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Density functionals based on the mathematical structure of the strong-interaction limit of DFT

Density functionals based on the mathematical structure of the strong-interaction limit of DFT

While in principle exact, Kohn–Sham density functional theory—the workhorse of computational chemistry—must rely on approximations for the exchange–correlation functional. Despite staggering successes, present-day approximations still struggle when the effects of electron–electron correlation play a prominent role. The limit in which the electronic Coulomb repulsion completely dominates the exchange–correlation functional offers a well-defined mathematical framework that provides insight for new approximations able to deal with strong correlation. In particular, the mathematical structure of this limit, which is now well-established thanks to its reformulation as an optimal transport problem, points to the use of very different ingredients (or features) with respect to the traditional ones used in present approximations. We focus on strategies to use these new ingredients to build approximations for computational chemistry and highlight future promising directions.

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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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