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多组态对密度泛函理论与完全活性空间二阶微扰理论。FeC、NiC、FeS、NiS、FeSe和NiSe的键解离能。

Multiconfiguration Pair-Density Functional Theory and Complete Active Space Second Order Perturbation Theory. Bond Dissociation Energies of FeC, NiC, FeS, NiS, FeSe, and NiSe.

作者信息

Sharkas Kamal, Gagliardi Laura, Truhlar Donald G

机构信息

Department of Chemistry, Chemical Theory Center, and Minnesota Supercomputing Institute, University of Minnesota , 207 Pleasant Street SE, Minneapolis, Minnesota 55455-0431, United States.

出版信息

J Phys Chem A. 2017 Dec 7;121(48):9392-9400. doi: 10.1021/acs.jpca.7b09779. Epub 2017 Nov 28.

DOI:10.1021/acs.jpca.7b09779
PMID:29136466
Abstract

We investigate the performance of multiconfiguration pair-density functional theory (MC-PDFT) and complete active space second-order perturbation theory for computing the bond dissociation energies of the diatomic molecules FeC, NiC, FeS, NiS, FeSe, and NiSe, for which accurate experimental data have become recently available [Matthew, D. J.; Tieu, E.; Morse, M. D. J. Chem. Phys. 2017, 146, 144310-144320]. We use three correlated participating orbital (CPO) schemes (nominal, moderate, and extended) to define the active spaces, and we consider both the complete active space (CAS) and the separated-pair (SP) schemes to specify the configurations included for a given active space. We found that the moderate SP-PDFT scheme with the tPBE on-top density functional has the smallest mean unsigned error (MUE) of the methods considered. This level of theory provides a balanced treatment of the static and dynamic correlation energies for the studied systems. This is encouraging because the method is low in cost even for much more complicated systems.

摘要

我们研究了多组态对密度泛函理论(MC-PDFT)和完全活性空间二阶微扰理论在计算双原子分子FeC、NiC、FeS、NiS、FeSe和NiSe的键解离能方面的性能,最近已有这些分子精确的实验数据[Matthew, D. J.; Tieu, E.; Morse, M. D. J. Chem. Phys. 2017, 146, 144310 - 144320]。我们使用三种相关参与轨道(CPO)方案(标称、适度和扩展)来定义活性空间,并考虑完全活性空间(CAS)和分离对(SP)方案来指定给定活性空间所包含的构型。我们发现,采用tPBE表面密度泛函的适度SP-PDFT方案在所考虑的方法中具有最小的平均绝对误差(MUE)。该理论水平为所研究的体系提供了对静态和动态相关能的平衡处理。这是令人鼓舞的,因为即使对于复杂得多的体系,该方法成本也较低。

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