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The Rys quadrature revisited: A novel formulation for the efficient computation of electron repulsion integrals over Gaussian functions

J. Chem. Phys. 114, 2067 (2001); doi:10.1063/1.1336541

Issue Date: 1 February 2001

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Michel Dupuis
Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, K8-91, P.O. Box 999, Battelle Boulevard, Richland, Washington 99352

Antonio Marquez
Department of Chemistry, University of Sevilla, Sevilla, Spain
A novel formulation of the Rys quadrature algorithm for the calculation of the electron repulsion integrals over Gaussian basis functions is presented. The new algorithm is specifically designed for high contractions. As for the original Rys quadrature algorithm, the new algorithm is very efficient for high angular momentum functions. In addition it is also equally efficient for low angular momentum functions. The new algorithm takes unique advantage of (1) the numerical Rys quadrature methodology in (2) dealing with charge distributions a la McMurchie–Davidson and in (3) scaling integral blocks as a means of transferring angular momentum a la Gill–Head–Gordon–Pople. An analysis of the algorithm suggests very favorable floating-point operation counts. ©2001 American Institute of Physics.
History: Received 7 August 2000; accepted 7 November 2000
Permalink: http://link.aip.org/link/?JCPSA6/114/2067/1
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KEYWORDS and PACS

Keywords
PACS
  • 31.15.-p
    Electronic structure of atoms and molecules: theory Calculations and mathematical techniques in atomic and molecular physics (excluding electron correlation calculations)
  • 31.15.Ar
    Electronic structure of atoms and molecules: theory Calculations and mathematical techniques in atomic and molecular physics (excluding electron correlation calculations) Ab initio calculations
  • 31.15.Ew
    Electronic structure of atoms and molecules: theory Calculations and mathematical techniques in atomic and molecular physics (excluding electron correlation calculations) Density-functional theory
  • YEAR: 2001

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PUBLICATION DATA

ISSN:
0021-9606 (print)   1089-7690 (online)
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REFERENCES (17)

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