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SparseMaps-A systematic infrastructure for reduced-scaling electronic structure methods. IV. Linear-scaling second-order explicitly correlated energy with pair natural orbitals

机译:SparseMaps-用于缩减电子结构方法的系统基础架构。 IV。线性定标二阶能量与成对自然轨道的显式相关

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We present a formulation of the explicitly correlated second-order Moller-Plesset (MP2-F12) energy in which all nontrivial post-mean-field steps are formulated with linear computational complexity in system size. The two key ideas are the use of pair-natural orbitals for compact representation of wave function amplitudes and the use of domain approximation to impose the block sparsity. This development utilizes the concepts for sparse representation of tensors described in the context of the domain based local pair-natural orbital-MP2 (DLPNO-MP2) method by us recently [Pinski et al., J. Chem. Phys. 143, 034108 (2015)]. Novel developments reported here include the use of domains not only for the projected atomic orbitals, but also for the complementary auxiliary basis set (CABS) used to approximate the three-and four-electron integrals of the F12 theory, and a simplification of the standard B intermediate of the F12 theory that avoids computation of four-index two-electron integrals that involve two CABS indices. For quasi-1-dimensional systems (n-alkanes), the O (N) DLPNO-MP2-F12 method becomes less expensive than the conventional O(N-5) MP2-F12 for n between 10 and 15, for double-and triple-zeta basis sets; for the largest alkane, C200H402, in def2-TZVP basis, the observed computational complexity is N-similar to 1.6, largely due to the cubic cost of computing the mean-field operators. The method reproduces the canonical MP2-F12 energy with high precision: 99.9% of the canonical correlation energy is recovered with the default truncation parameters. Although its cost is significantly higher than that of DLPNO-MP2 method, the cost increase is compensated by the great reduction of the basis set error due to explicit correlation. (C) 2016 AIP Publishing LLC.
机译:我们提出了一种明确相关的二阶Moller-Plesset(MP2-F12)能量的公式,其中所有非平凡的均值后场步均采用系统大小的线性计算复杂度来表示。这两个关键思想是使用成对自然轨道来简单表示波函数振幅,以及使用域逼近来施加块稀疏性。这种发展利用了我们最近在基于域的局部对-自然轨道-MP2(DLPNO-MP2)方法的上下文中描述的用于张量的稀疏表示的概念[Pinski et al。,J. Chem。物理143,034108(2015)]。这里报道的新颖发展不仅包括将域用于计划的原子轨道,而且还用于对F12理论的三和四电子积分进行近似的互补辅助基集(CABS),以及对标准的简化F12理论的B级中间体,它避免了涉及两个CABS指数的四指数二电子积分的计算。对于准一维系统(正构烷烃),n(10和15之间)的O(N)DLPNO-MP2-F12方法比常规O(N-5)MP2-F12的成本更低。三重ζ基础集;对于最大的烷烃C200H402(以def2-TZVP为基础),观察到的计算复杂度为N-类似于1.6,这主要是由于计算平均场算符的立方成本。该方法可以高精度地重现规范的MP2-F12能量:使用默认的截断参数可以回收99.9%的规范相关能量。尽管其成本明显高于DLPNO-MP2方法,但由于显式相关性导致的基集误差的大幅降低,弥补了成本的增加。 (C)2016 AIP出版有限责任公司。

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