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Optimization of the linear-scaling local natural orbital CCSD(T) method: Redundancy-free triples correction using Laplace transform

机译:线性缩放局部自然轨道CCSD(T)方法的优化:使用Laplace变换的无冗余三元校正

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摘要

An improved algorithm is presented for the evaluation of the (T) correction as a part of our local natural orbital (LNO) coupled-cluster singles and doubles with perturbative triples [LNO-CCSD(T)] scheme [Z. Rolik et al., J. Chem. Phys. >139, 094105 (2013)]. The new algorithm is an order of magnitude faster than our previous one and removes the bottleneck related to the calculation of the (T) contribution. First, a numerical Laplace transformed expression for the (T) fragment energy is introduced, which requires on average 3 to 4 times fewer floating point operations with negligible compromise in accuracy eliminating the redundancy among the evaluated triples amplitudes. Second, an additional speedup factor of 3 is achieved by the optimization of our canonical (T) algorithm, which is also executed in the local case. These developments can also be integrated into canonical as well as alternative fragmentation-based local CCSD(T) approaches with minor modifications. As it is demonstrated by our benchmark calculations, the evaluation of the new Laplace transformed (T) correction can always be performed if the preceding CCSD iterations are feasible, and the new scheme enables the computation of LNO-CCSD(T) correlation energies with at least triple-zeta quality basis sets for realistic three-dimensional molecules with more than 600 atoms and 12 000 basis functions in a matter of days on a single processor.
机译:提出了一种改进的算法,用于评估(T)校正,这是我们的局部自然轨道(LNO)耦合集群单打和双打的一部分,带有扰动三重[LNO-CCSD(T)]方案[Z. Rolik等,J.Chem.Sci。物理> 139 ,094105(2013年)]。新算法比我们以前的算法快一个数量级,并且消除了与(T)贡献的计算有关的瓶颈。首先,引入了一个针对(T)片段能量的数字拉普拉斯变换表达式,该表达式平均减少了3至4倍的浮点运算,而精度损失可忽略不计,从而消除了所评估的三倍振幅之间的冗余。其次,通过优化我们的规范(T)算法获得了额外的加速因子3,该算法也在本地情况下执行。这些发展也可以集成到规范以及经过细微修改的替代基于碎片的本地CCSD(T)方法中。正如我们的基准计算所证明的,如果之前的CCSD迭代可行,则始终可以执行新的Laplace变换(T)校正的评估,并且该新方案可以计算LNO-CCSD(T)相关能量在单个处理器上用几天的时间,即可获得具有600多个原子和12000个基函数的逼真的三维分子的最小三重zeta质量基集。

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