复杂分子系统中电子激发的嵌入式多体格林函数方法

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Gianluca Tirimbó, Vivek Sundaram, Björn Baumeier
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引用次数: 0

摘要

贝特-萨尔佩特方程(BSE)的 GW 近似多体格林函数理论为完美晶体和分子中的单粒子和电子-空穴激发的第一原理计算提供了一个强大的框架。应用于复杂的分子系统(例如溶解染料、分子聚集体、薄膜、界面或大分子)尤其具有挑战性,因为它们包含的原子数量大得惊人。利用此类无序系统中激发通常具有的局部性,最近开发出了几种方法,将 GW-BSE 应用于较小的、可控的感兴趣区域,该区域嵌入到用较低级方法描述的环境中。在此,我们回顾了为这种嵌入式多体格林函数方法提出的各种策略,包括量子量子嵌入和量子经典嵌入,并特别关注它们如何在 GW 和 BSE 步骤中的屏蔽库仑相互作用中或通过外在静电耦合包含环境屏蔽效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Embedded Many-Body Green's Function Methods for Electronic Excitations in Complex Molecular Systems

Embedded Many-Body Green's Function Methods for Electronic Excitations in Complex Molecular Systems

Many-body Green's function theory in the GW approximation with the Bethe–Salpeter equation (BSE) provides a powerful framework for the first-principles calculations of single-particle and electron–hole excitations in perfect crystals and molecules alike. Application to complex molecular systems, for example, solvated dyes, molecular aggregates, thin films, interfaces, or macromolecules, is particularly challenging as they contain a prohibitively large number of atoms. Exploiting the often localized nature of excitation in such disordered systems, several methods have recently been developed in which GW-BSE is applied to a smaller, tractable region of interest that is embedded into an environment described with a lower-level method. Here, we review the various strategies proposed for such embedded many-body Green's functions approaches, including quantum–quantum and quantum–classical embeddings, and focus in particular on how they include environment screening effects either intrinsically in the screened Coulomb interaction in the GW and BSE steps or via extrinsic electrostatic couplings.

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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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