Literature DB >> 31255088

Towards density functional approximations from coupled cluster correlation energy densities.

Johannes T Margraf1, Christian Kunkel1, Karsten Reuter1.   

Abstract

(Semi)local density functional approximations (DFAs) are the workhorse electronic structure methods in condensed matter theory and surface science. The correlation energy density ϵc(r) (a spatial function that yields the correlation energy Ec upon integration) is central to defining such DFAs. Unlike Ec, ϵc(r) is not uniquely defined, however. Indeed, there are infinitely many functions that integrate to the correct Ec for a given electron density ρ. The challenge for constructing useful DFAs is thus to find a suitable connection between ϵc(r) and ρ. Herein, we present a new such approach by deriving ϵc(r) directly from the coupled-cluster (CC) energy expression. The corresponding energy densities are analyzed for prototypical two-electron systems. As a proof-of-principle, we construct a semilocal functional to approximate the numerical CC correlation energy densities. Importantly, the energy densities are not simply used as reference data but guide the choice of the functional form, leading to a remarkably simple and accurate correlation functional for the helium isoelectronic series. While the resulting functional is not transferable to many-electron systems (due to a lack of same-spin correlation), these results underscore the potential of the presented approach.

Entities:  

Year:  2019        PMID: 31255088     DOI: 10.1063/1.5094788

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


  2 in total

1.  Psi4 1.4: Open-source software for high-throughput quantum chemistry.

Authors:  Daniel G A Smith; Lori A Burns; Andrew C Simmonett; Robert M Parrish; Matthew C Schieber; Raimondas Galvelis; Peter Kraus; Holger Kruse; Roberto Di Remigio; Asem Alenaizan; Andrew M James; Susi Lehtola; Jonathon P Misiewicz; Maximilian Scheurer; Robert A Shaw; Jeffrey B Schriber; Yi Xie; Zachary L Glick; Dominic A Sirianni; Joseph Senan O'Brien; Jonathan M Waldrop; Ashutosh Kumar; Edward G Hohenstein; Benjamin P Pritchard; Bernard R Brooks; Henry F Schaefer; Alexander Yu Sokolov; Konrad Patkowski; A Eugene DePrince; Uğur Bozkaya; Rollin A King; Francesco A Evangelista; Justin M Turney; T Daniel Crawford; C David Sherrill
Journal:  J Chem Phys       Date:  2020-05-14       Impact factor: 3.488

2.  Pure non-local machine-learned density functional theory for electron correlation.

Authors:  Johannes T Margraf; Karsten Reuter
Journal:  Nat Commun       Date:  2021-01-12       Impact factor: 14.919

  2 in total

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