双电子还原密度矩阵的变量测定:教程回顾

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
A. Eugene DePrince III
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引用次数: 0

摘要

双电子还原密度矩阵(2RDM)所携带的信息足以评估多电子系统的电子能量。变分 2RDM (v2RDM) 方法试图在不了解波函数的情况下,通过最小化与 2RDM 元素变化相关的能量来直接确定 2RDM,同时还强制执行已知的 N 表示性条件。在这篇教程综述中,我们将概述 v2RDM 方法的理论基础,以及通常应用于 2RDM 的 N-representability 约束条件。我们还讨论了在 v2RDM 计算中使用的半定量编程(SDP)技术,并提供了足够的 Python 代码,用于开发与 libSDP SDP 求解器库接口的工作 v2RDM 代码:
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Variational determination of the two-electron reduced density matrix: A tutorial review

Variational determination of the two-electron reduced density matrix: A tutorial review

The two-electron reduced density matrix (2RDM) carries enough information to evaluate the electronic energy of a many-electron system. The variational 2RDM (v2RDM) approach seeks to determine the 2RDM directly, without knowledge of the wave function, by minimizing this energy with respect to variations in the elements of the 2RDM, while also enforcing known N-representability conditions. In this tutorial review, we provide an overview of the theoretical underpinnings of the v2RDM approach and the N-representability constraints that are typically applied to the 2RDM. We also discuss the semidefinite programming (SDP) techniques used in v2RDM computations and provide enough Python code to develop a working v2RDM code that interfaces to the libSDP library of SDP solvers.

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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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