利用微扰分析改进Aufbau抑制耦合簇。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Journal of Chemical Theory and Computation Pub Date : 2025-04-22 Epub Date: 2025-04-10 DOI:10.1021/acs.jctc.5c00096
Harrison Tuckman, Ziheng Ma, Eric Neuscamman
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引用次数: 0

摘要

在微扰分析的指导下,我们提高了Aufbau抑制耦合簇理论在简单单激励、多构型单激励和电荷转移激励下的精度,同时使其前导项的代价与基态耦合簇精确一致。将这些精度改进与基于自旋自适应的更有效实现相结合,我们在单个激发的大型测试集中观察到较高的精度,特别是电荷转移态的平均无符号误差比运动方程耦合簇理论高出0.25 eV。我们讨论了这些结果是如何通过系统地确定单构型激发态和多构型激发态的优先振幅来实现的,以及这种优先顺序与基态理论在重要方面的不同之处。特别是,我们的数据表明,该理论的部分线性化通过减轻Aufbau抑制的不必要副作用来提高准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Aufbau Suppressed Coupled Cluster through Perturbative Analysis.

Guided by perturbative analysis, we improve the accuracy of Aufbau suppressed coupled cluster theory in simple single excitations, multiconfigurational single excitations, and charge transfer excitations while keeping the cost of its leading-order terms precisely in line with ground-state coupled cluster. Combining these accuracy improvements with a more efficient implementation based on spin adaptation, we observe high accuracy in a large test set of single excitations and, in particular, a mean unsigned error for charge transfer states that outperforms equation-of-motion coupled cluster theory by 0.25 eV. We discuss how these results are achieved via a systematic identification of which amplitudes to prioritize for single- and multiconfigurational excited states, and how this prioritization differs in important ways from the ground-state theory. In particular, our data show that a partial linearization of the theory increases accuracy by mitigating unwanted side effects of Aufbau suppression.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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