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通过Cholesky分解和衰减库仑度量实现的零开销线性缩放随机相位近似

Vanishing-Overhead Linear-Scaling Random Phase Approximation by Cholesky Decomposition and an Attenuated Coulomb-Metric.

作者信息

Luenser Arne, Schurkus Henry F, Ochsenfeld Christian

机构信息

Chair of Theoretical Chemistry, Department of Chemistry, University of Munich (LMU) , Butenandtstrasse 5-13, D-81377 Munich, Germany.

Center for Integrated Protein Science Munich (CIPSM) , Butenandtstrasse 5-13, D-81377 Munich, Germany.

出版信息

J Chem Theory Comput. 2017 Apr 11;13(4):1647-1655. doi: 10.1021/acs.jctc.6b01235. Epub 2017 Mar 6.

Abstract

A reformulation of the random phase approximation within the resolution-of-the-identity (RI) scheme is presented, that is competitive to canonical molecular orbital RI-RPA already for small- to medium-sized molecules. For electronically sparse systems drastic speedups due to the reduced scaling behavior compared to the molecular orbital formulation are demonstrated. Our reformulation is based on two ideas, which are independently useful: First, a Cholesky decomposition of density matrices that reduces the scaling with basis set size for a fixed-size molecule by one order, leading to massive performance improvements. Second, replacement of the overlap RI metric used in the original AO-RPA by an attenuated Coulomb metric. Accuracy is significantly improved compared to the overlap metric, while locality and sparsity of the integrals are retained, as is the effective linear scaling behavior.

摘要

提出了一种在分辨率恒等式(RI)方案内对随机相位近似的重新表述,对于中小尺寸分子,它已经能与规范分子轨道RI-RPA相竞争。对于电子稀疏系统,与分子轨道公式相比,由于缩并行为的降低,展示出了显著的加速效果。我们的重新表述基于两个独立有用的想法:第一,密度矩阵的Cholesky分解,对于固定大小的分子,它将基组大小的缩并降低了一个量级,从而带来巨大的性能提升。第二,用衰减库仑度量取代原始AO-RPA中使用的重叠RI度量。与重叠度量相比,精度显著提高,同时积分的局部性和稀疏性得以保留,有效线性缩并行为也是如此。

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