On the Search of a Modified STO‐3G Basis Set Optimized for Molecules

ABSTRACT Atomic basis sets play a central role in molecular chemistry and computational studies. While numerous large and specialized basis sets have been developed, the minimal STO‐3G basis set continues to be used. It is commonly employed in the testing phase of calculations, for determining magnetic properties of larger systems, and for describing chemical environments in multilayer QM/QM' calculations focused on extended biological or material systems. The original STO‐3G basis set was optimized to fit a single atomic Slater‐type orbital, with no emphasis on energy or properties. In this study, we explore the possibilities, advantages, and drawbacks of re‐optimizing the STO‐3G basis set in the following ways: (i) targeting the total energy of different organic molecules rather than atoms during the optimization process; (ii) introducing different basis set “atom types” for the same atom, inspired by force fields; (iii) optimizing the basis set to improve equilibrium geometries and/or electric properties.

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Publication Details

Journal
International Journal of Quantum Chemistry
Published
2025-12-12
DOI
https://doi.org/10.1002/qua.70125
Primary Topic
Machine Learning in Materials Science
Type
article
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article

On the Search of a Modified STO‐3G Basis Set Optimized for Molecules

Denis Jacquemin, Rudraditya Sarkar, Šimon Budzák
International Journal of Quantum Chemistry
Machine Learning in Materials Science
article

On the Search of a Modified STO‐3G Basis Set Optimized for Molecules

Denis Jacquemin, Rudraditya Sarkar, Šimon Budzák
article en

Abstract

ABSTRACT Atomic basis sets play a central role in molecular chemistry and computational studies. While numerous large and specialized basis sets have been developed, the minimal STO‐3G basis set continues to be used. It is commonly employed in the testing phase of calculations, for determining magnetic properties of larger systems, and for describing chemical environments in multilayer QM/QM' calculations focused on extended biological or material systems. The original STO‐3G basis set was optimized to fit a single atomic Slater‐type orbital, with no emphasis on energy or properties. In this study, we explore the possibilities, advantages, and drawbacks of re‐optimizing the STO‐3G basis set in the following ways: (i) targeting the total energy of different organic molecules rather than atoms during the optimization process; (ii) introducing different basis set “atom types” for the same atom, inspired by force fields; (iii) optimizing the basis set to improve equilibrium geometries and/or electric properties.

International Journal of Quantum ChemistryVol. 125(24)
Centre National de la Recherche Scientifique (FR), Institut Universitaire de France (FR), Chimie et Interdisciplinarité, Synthèse, Analyse, Modélisation (FR), Matej Bel University (SK), GITAM University (IN), Nantes Université (FR)
Openalex Percentile: Top 67%
Machine Learning in Materials Science
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