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  5. The electron localization function and the chemical interpretation of Fermi orbital descriptors in Fermi–Löwdin self-interaction correction calculations

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Article
en
2025

The electron localization function and the chemical interpretation of Fermi orbital descriptors in Fermi–Löwdin self-interaction correction calculations

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en
2025
Vol 162 (14)
Vol. 162
DOI: 10.1063/5.0263003

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John P Perdew
John P Perdew

Tulane University

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Duyen B. Nguyen
Carlos Cárdenas
Jerónimo Lira
+3 more

Abstract

A set of Fermi orbital descriptors (FODs), representing "semi-classical" electronic positions, is a crucial ingredient in the Fermi-Löwdin orbital self-interaction correction (FLOSIC) method. The FODs are utilized to generate Fermi orbitals, which, in turn, are symmetrically orthogonalized to give the Fermi-Löwdin orbitals employed in FLOSIC calculations. It has been argued, based on empirical evidence, that FODs carry chemical bonding information and that FOD arrangements are reminiscent of electron distributions predicted by Lewis or Linnett theory. Here, we show that there is a formal connection between FODs and critical points of the electron localization function (ELF) and illustrate this fact for several cases where fully relaxed FODs from FLOSIC calculations closely resemble the structure of critical points (CPs). We also propose a new localization function, the SIC-ELF, based on the local mobility of the Fermi orbitals. In certain instances involving double and triple bonds, FLOSIC FODs offer a more precise interpretation of the chemical bonding structure suggested by Lewis theory than ELF or SIC-ELF. We suggest that the connection between FODs and CPs can be exploited to obtain initial FOD configurations for FLOSIC calculations.

How to cite this publication

Duyen B. Nguyen, Carlos Cárdenas, Jerónimo Lira, John P Perdew, Koblar Alan Jackson, Juan E. Peralta (2025). The electron localization function and the chemical interpretation of Fermi orbital descriptors in Fermi–Löwdin self-interaction correction calculations. , 162(14), DOI: https://doi.org/10.1063/5.0263003.

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Publication Details

Type

Article

Year

2025

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1063/5.0263003

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