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SparseMaps-A systematic infrastructure for reduced scaling electronic structure methods. V. Linear scaling explicitly correlated coupled-cluster method with pair natural orbitals

机译:SPARSEMAPS - 一种减少缩放电子结构方法的系统基础设施。 V.线性缩放与双自然轨道有明确相关的耦合簇方法

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In this work, we present a linear scaling formulation of the coupled-cluster singles and doubles with perturbative inclusion of triples (CCSD(T)) and explicitly correlated geminals. The linear scaling implementation of all post-mean-field steps utilizes the SparseMaps formalism [P. Pinski et al., J. Chem. Phys. 143, 034108 (2015)]. Even for conservative truncation levels, the method rapidly reaches near-linear complexity in realistic basis sets, e.g., an effective scaling exponent of 1.49 was obtained for n-alkanes with up to 200 carbon atoms in a def2-TZVP basis set. The robustness of the method is benchmarked against the massively parallel implementation of the conventional explicitly correlated coupled-cluster for a 20-water cluster; the total dissociation energy of the cluster (similar to 186 kcal/mol) is affected by the reduced scaling approximations by only similar to 0.4 kcal/mol. The reduced scaling explicitly correlated CCSD(T) method is used to examine the binding energies of several systems in the L7 benchmark data set of noncovalent interactions. Published by AIP Publishing.
机译:在这项工作中,我们呈现了耦合簇单打的线性缩放制剂,并扰动包含三元组(CCSD(T))和明确相关的初始胎儿。所有介绍场阶段的线性缩放实施利用SPARSEMAPS形式主义[P. Pinski等人。,J.Chem。物理。 143,034108(2015)]。即使对于保守截断水平,该方法甚至迅速地达到现实基础组的近线性复杂性,例如,在DEF2-TZVP基础集中获得高达200个碳原子的N-烷烃的有效缩放指数。该方法的稳健性是针对20水簇的传统明确相关耦合簇的大规模平行实现的基准测试;簇的总处理能量(类似于186千卡/ mol)受到仅相似的缩放近似的影响,仅其与0.4kcal / mol。降低的缩放明确相关的CCSD(T)方法用于检查非共价交互的L7基准数据集中的若干系统的绑定能量。通过AIP发布发布。

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