With relevant chemical space growing larger and larger by the day, the ability to extend computational tractability over that larger space is of paramount importance in virtually all fields of science. The solution we aim to provide here for this issue is in the form of the generalized many-body expansion for building density matrices (GMBE-DM) based on the set-theoretical derivation with overlapping fragments, through which the energy can be obtained by a single Fock build. In combination with the purification scheme and the truncation at the one-body level, the DM-based GMBE(1)-DM-P approach shows both highly accurate absolute and relative energies for medium-to-large size water clusters with about an order of magnitude better than the corresponding energy-based GMBE(1) scheme. Simultaneously, GMBE(1)-DM-P is about an order of magnitude faster than the previously proposed MBE-DM scheme [F. Ballesteros and K. U. Lao, J. Chem. Theory Comput. 18, 179 (2022)] and is even faster than a supersystem calculation without significant parallelization to rescue the fragmentation method. For even more challenging systems including ion–water and ion–pair clusters, GMBE(1)-DM-P also performs about 3 and 30 times better than the energy-based GMBE(1) approach, respectively. In addition, this work provides the first overlapping fragmentation algorithm with a robust and effective binning scheme implemented internally in a popular quantum chemistry software package. Thus, GMBE(1)-DM-P opens a new door to accurately and efficiently describe noncovalent clusters using quantum mechanics.
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An accurate and efficient fragmentation approach via the generalized many-body expansion for density matrices
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21 August 2023
Research Article|
August 18 2023
An accurate and efficient fragmentation approach via the generalized many-body expansion for density matrices
Special Collection:
2023 JCP Emerging Investigators Special Collection
Francisco Ballesteros
;
Francisco Ballesteros
(Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing)
Department of Chemistry, Virginia Commonwealth University
, Richmond, Virginia 23284, USA
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Jake A. Tan
;
Jake A. Tan
(Methodology, Software, Writing – review & editing)
Department of Chemistry, Virginia Commonwealth University
, Richmond, Virginia 23284, USA
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Ka Un Lao
Ka Un Lao
a)
(Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing)
Department of Chemistry, Virginia Commonwealth University
, Richmond, Virginia 23284, USA
a)Author to whom correspondence should be addressed: laoku@vcu.edu
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a)Author to whom correspondence should be addressed: laoku@vcu.edu
J. Chem. Phys. 159, 074107 (2023)
Article history
Received:
June 05 2023
Accepted:
July 28 2023
Citation
Francisco Ballesteros, Jake A. Tan, Ka Un Lao; An accurate and efficient fragmentation approach via the generalized many-body expansion for density matrices. J. Chem. Phys. 21 August 2023; 159 (7): 074107. https://doi.org/10.1063/5.0160810
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