SOFI: Finding point group symmetries in atomic clusters as finding the set of degenerate solutions in a shape-matching problem

Point Group (PG) symmetries play a fundamental role in many aspects of theoretical chemistry and computational materials science. With the objective to automatize the search of PG symmetry operations of generic atomic clusters, we present a new algorithm called Symmetry Operation FInder (SOFI). SOFI addresses the problem of identifying PG symmetry by framing it as a degenerate shape-matching problem, where the multiple solutions correspond to distinct symmetry operations. The developed algorithm is compared against three other algorithms dedicated to PG identification on a large set of atomic clusters. The results, along with some illustrative use cases, showcase the effectiveness of SOFI. The SOFI algorithm is released as part of the iterative rotations and assignments library, accessible at https://github.com/mammasmias/IterativeRotationsAssignments.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2024-08-12
DOI
https://doi.org/10.1063/5.0215689
Citations
2
Primary Topic
Enzyme Structure and Function
Type
article
Field-Weighted Citation Impact
0.23

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article

SOFI: Finding point group symmetries in atomic clusters as finding the set of degenerate solutions in a shape-matching problem

Miha Gunde, Layla Martin‐Samos, Anne Hémeryck, Luca Grisanti et al.
2 citations
The Journal of Chemical Physics
Enzyme Structure and Function
0.23
article

SOFI: Finding point group symmetries in atomic clusters as finding the set of degenerate solutions in a shape-matching problem

Miha Gunde, Layla Martin‐Samos, Anne Hémeryck, Luca Grisanti, Nicolas Salles
article en
2 citations

Abstract

Point Group (PG) symmetries play a fundamental role in many aspects of theoretical chemistry and computational materials science. With the objective to automatize the search of PG symmetry operations of generic atomic clusters, we present a new algorithm called Symmetry Operation FInder (SOFI). SOFI addresses the problem of identifying PG symmetry by framing it as a degenerate shape-matching problem, where the multiple solutions correspond to distinct symmetry operations. The developed algorithm is compared against three other algorithms dedicated to PG identification on a large set of atomic clusters. The results, along with some illustrative use cases, showcase the effectiveness of SOFI. The SOFI algorithm is released as part of the iterative rotations and assignments library, accessible at https://github.com/mammasmias/IterativeRotationsAssignments.

The Journal of Chemical PhysicsVol. 161(6)
Centre National de la Recherche Scientifique (FR), Scuola Internazionale Superiore di Studi Avanzati (IT), Université Fédérale de Toulouse Midi-Pyrénées (FR), Laboratoire d'Analyse et d'Architecture des Systèmes (FR), AREA Science Park (IT), Istituto Officina dei Materiali (IT), Ruđer Bošković Institute (HR)
Hrvatska Zaklada za Znanost
Openalex Percentile: Top 52%
Enzyme Structure and Function
0.23
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SOFI: Finding point group symmetries in atomic clusters as finding the set of degenerate solutions in a shape-matching problem — Miha Gunde, Layla Martin‐Samos, et al. · The Journal of Chemical Physics (2024) | TGRS Research Map | TGRS