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Multireference basis‐set reduction
Author(s) -
Wenzel Wolfgang,
Steiner Matthew M.,
Wilson Kenneth G.
Publication year - 1996
Publication title -
international journal of quantum chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.484
H-Index - 105
eISSN - 1097-461X
pISSN - 0020-7608
DOI - 10.1002/(sici)1097-461x(1996)60:7<1325::aid-qua14>3.0.co;2-3
Subject(s) - basis set , basis (linear algebra) , reduction (mathematics) , partition (number theory) , atomic orbital , space (punctuation) , set (abstract data type) , computational chemistry , hilbert space , algorithm , chemistry , physics , statistical physics , mathematics , quantum mechanics , molecule , computer science , geometry , combinatorics , programming language , operating system , electron
We review “Hilbert space basis‐set reduction” (BSR) as an approach to reduce the computational effort of accurate correlation calculations for large basis sets. We partition the single‐particle basis into a small “internal” and a large “external” set. We use the MRCI method for the calculation for that part of configuration space in which only internal orbitals are occupied and perturbatively correct for the remaining configurations using a method similar to Shavitt's B k method. The present implementation approximates the MRCI result for the unpartitioned basis set, with a significantly reduced computational effort. To demonstrate the viability of the method, we present results for selected states of small molecules (Be 2 , CH 2 , O 3 ). For the examples investigated, we find that relative energy differences can be reproduced to an accuracy of approximately 1 kcal/mol with a significant computational saving. © 1996 John Wiley & Sons, Inc.