A promising intersection of excited-state-specific methods from quantum chemistry and quantum Monte Carlo

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Wiley Interdisciplinary Reviews: Computational Molecular Science Pub Date : 2023-02-09 DOI:10.1002/wcms.1659
Leon Otis, Eric Neuscamman
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引用次数: 4

Abstract

We present a discussion of recent progress in excited-state-specific quantum chemistry and quantum Monte Carlo alongside a demonstration of how a combination of methods from these two fields can offer reliably accurate excited state predictions across singly excited, doubly excited, and charge transfer states. Both of these fields have seen important advances supporting excited state simulation in recent years, including the introduction of more effective excited-state-specific optimization methods, improved handling of complicated wave function forms, and ways of explicitly balancing the quality of wave functions for ground and excited states. To emphasize the promise that exists at this intersection, we provide demonstrations using a combination of excited-state-specific complete active space self-consistent field theory, selected configuration interaction, and state-specific variance minimization. These demonstrations show that combining excited-state-specific quantum chemistry and variational Monte Carlo can be more reliably accurate than either equation of motion coupled cluster theory or multi-reference perturbation theory, and that it can offer new clarity in cases where existing high-level methods do not agree.

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量子化学和量子蒙特卡罗激发态特定方法的一个很有前途的交叉点
我们讨论了激发态特定量子化学和量子蒙特卡罗的最新进展,同时演示了这两个领域的方法组合如何在单激发、双激发和电荷转移态中提供可靠准确的激发态预测。近年来,这两个领域都在支持激发态模拟方面取得了重要进展,包括引入了更有效的激发态特定优化方法,改进了对复杂波函数形式的处理,以及明确平衡基态和激发态波函数质量的方法。为了强调在这个交叉点上存在的希望,我们使用激发态特定的完全主动空间自洽场论、选定构型相互作用和状态特定方差最小化的组合进行了演示。这些证明表明,将激发态特定量子化学和变分蒙特卡罗相结合,可以比运动方程耦合簇理论或多参考微扰理论更可靠地准确,并且在现有高级方法不一致的情况下,它可以提供新的清晰度。本文分类如下:
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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.
期刊最新文献
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