Cristin-resultat-ID: 2180676
Sist endret: 22. februar 2024, 10:51
NVI-rapporteringsår: 2023
Resultat
Vitenskapelig artikkel
2023

The S-diagnostic - an a posteriori error assessment for single-reference coupled-cluster methods

Bidragsytere:
  • Fabian M. Faulstich
  • Håkon Emil Kristiansen
  • Mihaly Andras Csirik
  • Simen Kvaal
  • Thomas Bondo Pedersen og
  • Andre Laestadius

Tidsskrift

Journal of Physical Chemistry A
ISSN 1089-5639
e-ISSN 1520-5215
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2023
Publisert online: 2023
Trykket: 2023
Volum: 127
Hefte: 43
Sider: 9106 - 9120
Open Access

Importkilder

Scopus-ID: 2-s2.0-85175878868

Beskrivelse Beskrivelse

Tittel

The S-diagnostic - an a posteriori error assessment for single-reference coupled-cluster methods

Sammendrag

We propose a novel a posteriori error assessment for the single-reference coupled-cluster (SRCC) method called the S-diagnostic. We provide a derivation of the S-diagnostic that is rooted in the mathematical analysis of different SRCC variants. We numerically scrutinized the S-diagnostic, testing its performance for (1) geometry optimizations, (2) electronic correlation simulations of systems with varying numerical difficulty, and (3) the square-planar copper complexes [CuCl4]2-, [Cu(NH3)4]2+, and [Cu(H2O)4]2+. Throughout the numerical investigations, the S-diagnostic is compared to other SRCC diagnostic procedures, that is, the T1, D1, and D2 diagnostics as well as different indices of multi-determinantal and multi-reference character in coupled-cluster theory. Our numerical investigations show that the S-diagnostic outperforms the T1, D1, and D2 diagnostics and is comparable to the indices of multi-determinantal and multi-reference character in coupled-cluster theory in their individual fields of applicability. The experiments investigating the performance of the S-diagnostic for geometry optimizations using SRCC reveal that the S-diagnostic correlates well with different error measures at a high level of statistical relevance. The experiments investigating the performance of the S-diagnostic for electronic correlation simulations show that the S-diagnostic correctly predicts strong multi-reference regimes. The S-diagnostic moreover correctly detects the successful SRCC computations for [CuCl4]2-, [Cu(NH3)4]2+, and [Cu(H2O)4]2+, which have been known to be misdiagnosed by T1 and D1 diagnostics in the past. This shows that the S-diagnostic is a promising candidate for an a posteriori diagnostic for SRCC calculations.

Bidragsytere

Fabian M. Faulstich

  • Tilknyttet:
    Forfatter
    ved Rensselaer Polytechnic Institute

Håkon Emil Kristiansen

  • Tilknyttet:
    Forfatter
    ved Hylleraas-senteret ved Universitetet i Oslo

Mihaly Andras Csirik

  • Tilknyttet:
    Forfatter
    ved Hylleraas-senteret ved Universitetet i Oslo
  • Tilknyttet:
    Forfatter
    ved Institutt for informasjonsteknologi ved OsloMet - storbyuniversitetet

Simen Kvaal

  • Tilknyttet:
    Forfatter
    ved Hylleraas-senteret ved Universitetet i Oslo

Thomas Bondo Pedersen

  • Tilknyttet:
    Forfatter
    ved Hylleraas-senteret ved Universitetet i Oslo
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