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基于密度矩阵重正化群的定制耦合簇方法中的近线性标度:DLPNO-TCCSD 和 DLPNO-TCCSD(T)的实现。

Near-Linear Scaling in DMRG-Based Tailored Coupled Clusters: An Implementation of DLPNO-TCCSD and DLPNO-TCCSD(T).

机构信息

J. Heyrovský Institute of Physical Chemistry, Academy of Sciences of the Czech Republic, v.v.i., Dolejškova 3, 18223 Prague 8, Czech Republic.

Faculty of Sciences, Charles University, Albertov 6, 128 00 Prague 2, Czech Republic.

出版信息

J Chem Theory Comput. 2020 May 12;16(5):3028-3040. doi: 10.1021/acs.jctc.0c00065. Epub 2020 Apr 23.

Abstract

We present a new implementation of density matrix renormalization group based tailored coupled clusters method (TCCSD), which employs the domain-based local pair natural orbital approach (DLPNO). Compared to the previous local pair natural orbital (LPNO) version of the method, the new implementation is more accurate, offers more favorable scaling, and provides more consistent behavior across the variety of systems. On top of the singles and doubles, we include the perturbative triples correction (T), which is able to retrieve even more dynamic correlation. The methods were tested on three systems: tetramethyleneethane, oxo-Mn(Salen), and iron(II)-porphyrin model. The first two were revisited to assess the performance with respect to LPNO-TCCSD. For oxo-Mn(Salen), we retrieved between 99.8 and 99.9% of the total canonical correlation energy which is an improvement of 0.2% over the LPNO version in less than 63% of the total LPNO runtime. Similar results were obtained for iron(II)-porphyrin. When the perturbative triples correction was employed, irrespective of the active space size or system, the obtained energy differences between two spin states were within the chemical accuracy of 1 kcal/mol using the default DLPNO settings.

摘要

我们提出了一种新的基于密度矩阵重整化群的定制耦合簇方法(TCCSD)的实现,该方法采用基于域的局部对自然轨道方法(DLPNO)。与方法的先前局部对自然轨道(LPNO)版本相比,新实现更加准确,提供更有利的比例缩放,并在各种系统中表现出更一致的行为。除了单双激发外,我们还包括微扰三激发校正(T),它能够进一步获取动态相关。该方法在三个系统上进行了测试:四亚甲基乙烷、氧代-Mn(Salen)和铁(II)-卟啉模型。前两个系统被重新研究,以评估相对于 LPNO-TCCSD 的性能。对于氧代-Mn(Salen),我们检索到的总正则相关能量在 99.8%到 99.9%之间,比 LPNO 版本提高了 0.2%,总 LPNO 运行时间不到 63%。铁(II)-卟啉也得到了类似的结果。当使用微扰三激发校正时,无论活性空间大小或系统如何,使用默认的 DLPNO 设置,两个自旋态之间的能量差异都在化学精度 1 kcal/mol 以内。

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