GBasis: A Python library for evaluating functions, functionals, and integrals expressed with Gaussian basis functions

Author:

Kim Taewon David1ORCID,Pujal Leila2ORCID,Richer Michelle2ORCID,van Zyl Maximilian2ORCID,Martínez-González Marco1ORCID,Tehrani Alireza2ORCID,Chuiko Valerii1,Sánchez-Díaz Gabriela1ORCID,Sanchez Wesley1,Adams William1ORCID,Huang Xiaomin1,Kelly Braden D.1ORCID,Vöhringer-Martinez Esteban3ORCID,Verstraelen Toon4ORCID,Heidar-Zadeh Farnaz2ORCID,Ayers Paul W.1ORCID

Affiliation:

1. Department of Chemistry & Chemical Biology, McMaster University 1 , Hamilton, Ontario L8S-4L8, Canada

2. Department of Chemistry, Queen’s University 2 , 90 Bader Lane, Kingston, Ontario K7L-3N6, Canada

3. Departamento de Físico-Química, Facultad de Ciencias Químicas, Universidad de Concepción 3 , Concepción, Chile

4. Center for Molecular Modeling (CMM), Ghent University 4 , Technologiepark-Zwijnaarde 46, B-9052 Zwijnaarde, Belgium

Abstract

GBasis is a free and open-source Python library for molecular property computations based on Gaussian basis functions in quantum chemistry. Specifically, GBasis allows one to evaluate functions expanded in Gaussian basis functions (including molecular orbitals, electron density, and reduced density matrices) and to compute functionals of Gaussian basis functions (overlap integrals, one-electron integrals, and two-electron integrals). Unique features of GBasis include supporting evaluation and analytical integration of arbitrary-order derivatives of the density (matrices), computation of a broad range of (screened) Coulomb interactions, and evaluation of overlap integrals of arbitrary numbers of Gaussians in arbitrarily high dimensions. For circumstances where the flexibility of GBasis is less important than high performance, a seamless Python interface to the Libcint C package is provided. GBasis is designed to be easy to use, maintain, and extend following many standards of sustainable software development, including code-quality assurance through continuous integration protocols, extensive testing, comprehensive documentation, up-to-date package management, and continuous delivery. This article marks the official release of the GBasis library, outlining its features, examples, and development.

Funder

Natural Sciences and Engineering Research Council of Canada

Fonds Wetenschappelijk Onderzoek

Fondo Nacional de Desarrollo Científico y Tecnológico

Bijzonder Onderzoeksfonds UGent

Compute Canada

Vlaams Supercomputer Centrum

European Commission

Canada Research Chairs

Publisher

AIP Publishing

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5. Efficient recursive computation of molecular integrals over Cartesian Gaussian functions;J. Chem. Phys.,1986

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