多参考耦合集群理论:内部收缩路线

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Robert G. Adam, Alexander Waigum, Andreas Köhn
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引用次数: 0

摘要

将单决定因素引用的耦合簇扩展的成功转移到多参考情况仍然是一个挑战。主要的难题是如何将相关能的广泛性所需要的指数分析与对近简并态相互作用的无偏处理所需要的线性分析适当合并。我们认为状态相互作用方面是重要的,因此布洛赫方程是所有真正的多参考耦合簇理论的必要起点。考虑到自旋自适应和轨道不变性,我们得到了内部收缩展开,它确实有许多吸引人的形式性质,但也导致了由此产生的工作方程的复杂性的极大增加。内部收缩展开最引人注目的性质可能是参考空间的简单变换可以将多态方程转换为特定状态方程,而无需引入进一步的近似。我们讨论了内收缩多参考耦合簇理论目前的不足和前景,并讨论了方程的完备性、使用正常有序的可选展开以及大活动空间和大分子的前景等问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multireference Coupled-Cluster Theory: The Internally Contracted Route

Multireference Coupled-Cluster Theory: The Internally Contracted Route

Transferring the success of the coupled-cluster expansion for single-determinant references to multireference cases remains a challenge. The main dilemma is a proper merge of the exponential ansatz, required for extensivity of the correlation energy, with a linear ansatz, required for an unbiased treatment of near-degenerate state interactions. We argue that the state interaction aspect is important and that therefore the Bloch equations are the necessary starting point for all true multireference coupled-cluster theories. Considering the aspect of spin-adaptation and orbital invariance, we arrive at internally contracted expansions, which indeed have a number of appealing formal properties, but also incur a tremendous increase in the complexity of the resulting working equations. The most striking property of internally contracted expansions is probably that a simple transformation of the reference space turns the multistate equations into state-specific equations without introducing further approximations. We discuss the present shortcomings and perspectives of the internally contracted multireference coupled-cluster theory and discuss issues like the completeness of the equations, alternative expansions using normal ordering, and perspectives for large active spaces and large molecules.

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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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