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二阶 Møller-Plesset 微扰理论中基于 Cholesky 分解密度矩阵的低标度一阶性质。

Low-scaling first-order properties within second-order Møller-Plesset perturbation theory using Cholesky decomposed density matrices.

机构信息

Chair of Theoretical Chemistry and Center for Integrated Protein Science Munich (CIPSM), Department of Chemistry, University of Munich (LMU), Butenandtstr. 7, 81377 Munich, Germany.

出版信息

J Chem Phys. 2017 Jul 14;147(2):024101. doi: 10.1063/1.4990413.

Abstract

An efficient implementation of energy gradients and of hyperfine coupling constants in second-order Møller-Plesset perturbation theory (MP2) is presented based on our fully atomic orbital (AO)-based approach. For the latter, an unrestricted AO-based MP2 formulation is introduced. A reduction in the dependency of the computational efficiency on the size of the basis set is achieved by a Cholesky decomposition and the prefactor is reduced by the resolution-of-the-identity approximation. Significant integral contributions are selected based on distance-including integral estimates (denoted as QQR-screening) and its reliability as a fully controlled screening procedure is demonstrated. The rate-determining steps are shown via model computations to scale cubically in the computation of energy gradients and quadratically in the case of hyperfine coupling constants. Furthermore, a significant speed-up of the computational time with respect to the canonical formulation is demonstrated.

摘要

本文提出了一种基于完全原子轨道(AO)的方法,实现了第二阶Møller-Plesset 微扰理论(MP2)中能量梯度和超精细耦合常数的高效计算。对于后者,引入了一种非限制 AO 基的 MP2 公式。通过 Cholesky 分解和分辨率的身份近似,降低了计算效率对基集大小的依赖性。根据包含距离的积分估计(称为 QQR 筛选)选择显著的积分贡献,并证明了其作为完全可控筛选过程的可靠性。通过模型计算,显示了决定速率的步骤在能量梯度的计算中呈立方比例,在超精细耦合常数的计算中呈二次比例。此外,与标准公式相比,计算时间显著加快。

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