Literature DB >> 17144689

Second-order Møller-Plesset perturbation energy obtained from divide-and-conquer Hartree-Fock density matrix.

Masato Kobayashi1, Tomoko Akama, Hiromi Nakai.   

Abstract

The density matrix (DM) obtained from Yang's [Phys. Rev. Lett. 66, 1438 (1991)] divide-and-conquer (DC) Hartree-Fock (HF) calculation is applied to the explicit second-order Møller-Plesset perturbation (MP2) energy functional of the HF DM, which was firstly mentioned by Ayala and Scuseria [J. Chem. Phys. 110, 3660 (1999)] and was improved by Surján [Chem. Phys. Lett. 406, 318 (2005)] as DM-Laplace MP2. This procedure, termed DC-DM MP2, requires the HF DM of holes, for which we propose two evaluation schemes in DC manner. Numerical studies reveal that the DC-DM MP2 energy deviation from canonical MP2 is the same order of magnitude as DC-HF energy deviation from conventional HF whichever type of hole DM is adopted. It is also confirmed that the central processing unit time of DC-DM MP2 is less than that of DM-Laplace MP2 because the DC-HF DM is sparser than conventional DM.

Entities:  

Year:  2006        PMID: 17144689     DOI: 10.1063/1.2388261

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  5 in total

1.  Density-fragment interaction approach for quantum-mechanical/molecular-mechanical calculations with application to the excited states of a Mg(2+)-sensitive dye.

Authors:  Kazuhiro Fujimoto; Weitao Yang
Journal:  J Chem Phys       Date:  2008-08-07       Impact factor: 3.488

2.  Divide-and-Conquer Hartree-Fock Calculations on Proteins.

Authors:  Xiao He; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2010-01-07       Impact factor: 6.006

3.  Simulations of the synthesis of boron-nitride nanostructures in a hot, high pressure gas volume.

Authors:  Predrag S Krstic; Longtao Han; Stephan Irle; Hiromi Nakai
Journal:  Chem Sci       Date:  2018-03-19       Impact factor: 9.825

Review 4.  Computational and data driven molecular material design assisted by low scaling quantum mechanics calculations and machine learning.

Authors:  Wei Li; Haibo Ma; Shuhua Li; Jing Ma
Journal:  Chem Sci       Date:  2021-11-08       Impact factor: 9.825

5.  Using quantum mechanical approaches to study biological systems.

Authors:  Kenneth M Merz
Journal:  Acc Chem Res       Date:  2014-06-06       Impact factor: 22.384

  5 in total

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