Knowles Partitioning from a Stationary Condition: Single- and Multireference Case.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Ágnes Szabados, András Gombás, Péter R Surján
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引用次数: 0

Abstract

A stationary condition involving the first-order wave function of many-body perturbation theory (PT) is shown to lead to the partitioning introduced recently by Knowles (J. Chem. Phys., 156, 011101 (2022)). This facilitates direct generalization for multireference (MR) PT schemes operating with a one-body Hamiltonian at zero-order. The essence of the method is an optimization of one-body integrals in the first-order interacting subspace, thereby achieving superior performance over Møller-Plesset (MP) type approaches. The stationary condition based extension, performed in the pivot-independent variant of the multiconfiguration PT (frame MCPT, fMCPT), rectifies the shortcomings of our previous MR adaptation. The resulting PT series comes close to the stationary condition-based extension, carried out in the complete active space PT (CASPT) formalism. Numerical results demonstrate that Knowles partitioning consistently outperforms MP partitioning in fMCPT.

平稳条件下的Knowles划分:单参考和多参考情况。
一个涉及多体摄动理论(PT)的一阶波函数的平稳条件被证明导致了由Knowles (J. Chem.)最近引入的分配。理论物理。生态学报,156,011101(2022))。这有利于直接推广多参考(MR) PT格式与一个体哈密顿在零阶操作。该方法的本质是在一阶相互作用子空间中对一维积分进行优化,从而获得优于Møller-Plesset (MP)型方法的性能。基于平稳条件的扩展,在多配置PT(框架MCPT, fMCPT)的轴无关变体中进行,纠正了我们之前的MR自适应的缺点。由此产生的PT系列接近于在完全活动空间PT (CASPT)形式体系中进行的基于条件的静态扩展。数值结果表明,在fMCPT中,Knowles划分始终优于MP划分。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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