Atomic Cholesky decompositions: A route to unbiased auxiliary basis sets for density fitting approximation with tunable accuracy and efficiency
Author(s) -
Francesco Aquilante,
Laura Gagliardi,
Thomas Bondo Pedersen,
Roland Lindh
Publication year - 2009
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.3116784
Subject(s) - cholesky decomposition , basis (linear algebra) , minimum degree algorithm , metric (unit) , basis function , decomposition , gaussian , mathematics , computational chemistry , algorithm , chemistry , quantum mechanics , physics , mathematical analysis , incomplete cholesky factorization , eigenvalues and eigenvectors , geometry , operations management , organic chemistry , economics
Cholesky decomposition of the atomic two-electron integral matrix has recently been proposed as a procedure for automated generation of auxiliary basis sets for the density fitting approximation [F. Aquilante et al., J. Chem. Phys. 127, 114107 (2007)]. In order to increase computational performance while maintaining accuracy, we propose here to reduce the number of primitive Gaussian functions of the contracted auxiliary basis functions by means of a second Cholesky decomposition. Test calculations show that this procedure is most beneficial in conjunction with highly contracted atomic orbital basis sets such as atomic natural orbitals, and that the error resulting from the second decomposition is negligible. We also demonstrate theoretically as well as computationally that the locality of the fitting coefficients can be controlled by means of the decomposition threshold even with the long-ranged Coulomb metric. Cholesky decomposition-based auxiliary basis sets are thus ideally suited for local density fitting approximations
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