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大系统中恒等式到CC2的随机解析:基态和三重态激发能计算

Stochastic Resolution of Identity to CC2 for Large Systems: Ground State and Triplet Excitation Energy Calculations.

作者信息

Zhao Chongxiao, Lee Joonho, Dou Wenjie

机构信息

Department of Chemistry, Zhejiang University, Hangzhou 310058, China.

Department of Chemistry, School of Science, Westlake University, Hangzhou, Zhejiang, 310024, China.

出版信息

J Phys Chem A. 2024 Oct 24;128(42):9302-9310. doi: 10.1021/acs.jpca.4c04264. Epub 2024 Oct 11.

Abstract

An implementation of stochastic resolution of identity to the CC2 (sRI-CC2) ground state energy followed by triplet excitation energy calculations is presented. A set of stochastic orbitals is introduced to further decouple the expensive 4-index electron repulsion integrals on the basis of RI approximation. A Laplace transformation of the orbital energy difference denominators into numerical summations is adopted to obtain a third-order overall scaling. We select a series of hydrogen dimer chains with nearly thousands of electrons, as well as some other molecules, for sRI-CC2 energies and test the accuracy and time consumption in comparison with those of RI-CC2. Our sRI-CC2 results reproduce a modest agreement with the RI-CC2 in Q-Chem program package and it allows a steep scaling reduction from () to (). Besides, the unrestricted sRI-CC2 calculations also fit well with the restricted results. Thus, our sRI-CC2 implementation of ground state energy and triplet excitation energy provides a cost-efficient alternative approach, especially for some large-sized systems.

摘要

本文提出了一种用于CC2(sRI-CC2)基态能量的随机单位分解实现方法,随后进行三重态激发能计算。引入了一组随机轨道,以便在RI近似的基础上进一步解耦昂贵的四指标电子排斥积分。采用轨道能量差分母的拉普拉斯变换将其转换为数值求和,以获得三阶整体缩放比例。我们选择了一系列具有近千个电子的氢二聚体链以及其他一些分子,用于计算sRI-CC2能量,并与RI-CC2的结果比较测试其准确性和时间消耗。我们的sRI-CC2结果与Q-Chem程序包中的RI-CC2结果有适度的一致性,并且它允许从()到()的缩放比例大幅降低。此外,无限制的sRI-CC2计算结果也与限制结果非常吻合。因此,我们的sRI-CC2基态能量和三重态激发能实现方法提供了一种经济高效的替代方法,特别是对于一些大型系统。

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Stochastic Resolution of Identity to CC2 for Large Systems: Excited State Properties.大体系中向CC2的恒等式随机解析:激发态性质
J Chem Theory Comput. 2024 Jun 25;20(12):5188-5195. doi: 10.1021/acs.jctc.4c00629. Epub 2024 Jun 6.

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