Numerical Integration of Slater Basis Functions Over Prolate Spheroidal Grids

Slater basis functions have desirable properties that can improve electronic structure simulations, but improved numerical integration methods are needed. This work builds upon the SlaterGPU library for the evaluation of Hamiltonian matrix elements in the resolution-of-the-identity approximation. In particular, a prolate spheroidal grid will provide sufficient integral accuracy to employ larger basis sets (quadruple-zeta and greater) in practical computations involving polyatomics. To integrate 3-center Coulomb and nuclear attraction terms, an improved grid representation around the third center is introduced. The RMSEs of the integral quantities are evaluated and compared to the previous numerical integration method used in SlaterGPU (Becke partitioning), resulting in a ~3 order of magnitude reduction in the error for 2-center integral quantities. The procedure is generally applicable to polyatomic systems, GPU accelerated for high performance computing, and tested on self-consistent field and full configuration interaction wavefunctions. Results for a number of 3-atom models as well as propanediyl (C<sub>3</sub>H<sub>6</sub>) demonstrate the reliability of the new integration scheme.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2026-01-05
DOI
https://doi.org/10.1002/jcc.70291
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical Integration of Slater Basis Functions Over Prolate Spheroidal Grids

Joshua Kammeraad, Alexander D. Stark, Jeffrey Hatch, Nathan Meier et al.
Journal of Computational Chemistry
Machine Learning in Materials Science
article

Numerical Integration of Slater Basis Functions Over Prolate Spheroidal Grids

Joshua Kammeraad, Alexander D. Stark, Jeffrey Hatch, Nathan Meier, Duy‐Khoi Dang, Paul M. Zimmerman
article en

Abstract

Slater basis functions have desirable properties that can improve electronic structure simulations, but improved numerical integration methods are needed. This work builds upon the SlaterGPU library for the evaluation of Hamiltonian matrix elements in the resolution-of-the-identity approximation. In particular, a prolate spheroidal grid will provide sufficient integral accuracy to employ larger basis sets (quadruple-zeta and greater) in practical computations involving polyatomics. To integrate 3-center Coulomb and nuclear attraction terms, an improved grid representation around the third center is introduced. The RMSEs of the integral quantities are evaluated and compared to the previous numerical integration method used in SlaterGPU (Becke partitioning), resulting in a ~3 order of magnitude reduction in the error for 2-center integral quantities. The procedure is generally applicable to polyatomic systems, GPU accelerated for high performance computing, and tested on self-consistent field and full configuration interaction wavefunctions. Results for a number of 3-atom models as well as propanediyl (C<sub>3</sub>H<sub>6</sub>) demonstrate the reliability of the new integration scheme.

Journal of Computational ChemistryVol. 47(1)
University of Michigan (US)
U.S. Department of Energy, Office of Science, Basic Energy Sciences
Openalex Percentile: Top 97%
Machine Learning in Materials Science
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