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Computation of determinant expansion coefficients within the graphically contracted function method

  • Argonne National Laboratory
Research Output: Contribution to journal Article Peer-review

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Abstract

Most electronic structure methods express the wavefunction as an expansion of N-electron basis functions that are chosen to be either Slater determinants or configuration state functions. Although the expansion coefficient of a single determinant may be readily computed from configuration state function coefficients for small wavefunction expansions, traditional algorithms are impractical for systems with a large number of electrons and spatial orbitals. In this work, we describe an efficient algorithm for the evaluation of a single determinant expansion coefficient for wavefunctions expanded as a linear combination of graphically contracted functions. Each graphically contracted function has significant multiconfigurational character and depends on a relatively small number of variational parameters called arc factors. Because the graphically contracted function approach expresses the configuration state function coefficients as products of arc factors, a determinant expansion coefficient may be computed recursively more efficiently than with traditional configuration interaction methods. Although the cost of computing determinant coefficients scales exponentially with the number of spatial orbitals for traditional methods, the algorithm presented here exploits two levels of recursion and scales polynomially with system size. Hence, as demonstrated through applications to systems with hundreds of electrons and orbitals, it may readily be applied to very large systems.

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Bibliographic Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2414-2419 (6 pages)

Journal (Volume, Issue Number)

Journal of Computational Chemistry (Volume 30, Issue 15)

Publication milestones

  • Published - 30/11/2009

Publication status

Published - 30/11/2009

ISSN

0192-8651

Publication IDs

  • Scopus: 70349932440
  • PubMed: 19360796