2012
DOI: 10.1002/jcc.22960
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Diagnosis of the performance of the state‐specific multireference coupled‐cluster method with different truncation schemes

Abstract: We have tested the linked version of a iterative (partial) triples correction for the Jeziorski-Monkhorst ansatz based state-specific multireference coupled cluster (SS-MRCC) approach with singles and doubles (SD) excitations [abbreviated as SS-MRCCSDT-1a and SS-MRCCSDT-1a+d]. The assessments of SS-MRCCSDT-1a and SS-MRCCSDT-1a+d schemes have been performed on the ground potential energy surface (PES) of P4, Li(2),Be(2) systems which demand the MR description, and on study of the excitation energy between the g… Show more

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Cited by 7 publications
(1 citation statement)
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“…Here, we only mention that one can use the genuine, state-universal (SU) and state-specific (SS) MRCC approaches that exploit multiple cluster operators, multiple Fermi vacua, and the Jeziorski–Monkhorst wave function ansatz (cf. refs for representative recent studies), but there also are SSMRCC methods that do not rely on this ansatz. Among them are the active-space CC approaches exploited in this work that utilize the SRCC formalism (see ref for a recent review), the related CASCC schemes, the block-correlated CC (BCCC) , theories, and the internally contracted MRCC approaches. One can also extend the applicability of SRCC methods to MR situations by mixing the SRCC and non-CC (...…”
Section: Introductionmentioning
confidence: 99%
“…Here, we only mention that one can use the genuine, state-universal (SU) and state-specific (SS) MRCC approaches that exploit multiple cluster operators, multiple Fermi vacua, and the Jeziorski–Monkhorst wave function ansatz (cf. refs for representative recent studies), but there also are SSMRCC methods that do not rely on this ansatz. Among them are the active-space CC approaches exploited in this work that utilize the SRCC formalism (see ref for a recent review), the related CASCC schemes, the block-correlated CC (BCCC) , theories, and the internally contracted MRCC approaches. One can also extend the applicability of SRCC methods to MR situations by mixing the SRCC and non-CC (...…”
Section: Introductionmentioning
confidence: 99%