Improving Aufbau Suppressed Coupled Cluster through Perturbative Analysis

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Harrison Tuckman, Ziheng Ma and Eric Neuscamman*, 
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引用次数: 0

Abstract

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.

Abstract Image

通过惯性分析改进奥夫鲍抑制耦合簇
在扰动分析的指导下,我们提高了奥夫保抑制耦合簇理论在简单单激发、多构型单激发和电荷转移激发中的精确度,同时使其前沿项的成本与基态耦合簇保持精确一致。将这些精度改进与基于自旋自适应的更高效实现相结合,我们观察到在大量单激发测试集中的高精度,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哪些振幅应优先用于单构型和多构型激发态来实现的,以及这种优先方式与基态理论的重要区别。特别是,我们的数据表明,理论的部分线性化可以减轻奥夫保抑制所带来的不必要的副作用,从而提高精确度。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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