4.7 Article

Cubic scaling algorithms for RPA correlation using interpolative separable density fitting

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 351, Issue -, Pages 187-202

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2017.09.012

Keywords

Electronic structure theory; Density fitting; Random phase approximation; Fast algorithms; Contour integral

Funding

  1. National Science Foundation [DMS-1454939]
  2. Division Of Mathematical Sciences
  3. Direct For Mathematical & Physical Scien [1454939] Funding Source: National Science Foundation

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We present a new cubic scaling algorithm for the calculation of the RPA correlation energy. Our scheme splits up the dependence between the occupied and virtual orbitals in chi(0) by use of Cauchy's integral formula. This introduces an additional integral to be carried out, for which we provide a geometrically convergent quadrature rule. Our scheme also uses the newly developed Interpolative Separable Density Fitting algorithm to further reduce the computational cost in a way analogous to that of the Resolution of Identity method. (C) 2017 Elsevier Inc. All rights reserved.

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