4.7 Article

Cost-effective description of strong correlation: Efficient implementations of the perfect quadruples and perfect hextuples models

Journal

JOURNAL OF CHEMICAL PHYSICS
Volume 145, Issue 13, Pages -

Publisher

AMER INST PHYSICS
DOI: 10.1063/1.4964317

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Funding

  1. Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division of the U.S. Department of Energy [DE-AC02-05CH11231]
  2. University of Notre Dame's College of Science
  3. University of Notre Dame's Department of Chemistry and Biochemistry

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Novel implementations based on dense tensor storage are presented for the singlet-reference perfect quadruples (PQ) [J. A. Parkhill et al., J. Chem. Phys. 130, 084101 (2009)] and perfect hextuples (PH) [J. A. Parkhill and M. Head-Gordon, J. Chem. Phys. 133, 024103 (2010)] models. The methods are obtained as block decompositions of conventional coupled-cluster theory that are exact for four electrons in four orbitals (PQ) and six electrons in six orbitals (PH), but that can also be applied to much larger systems. PQ and PH have storage requirements that scale as the square, and as the cube of the number of active electrons, respectively, and exhibit quartic scaling of the computational effort for large systems. Applications of the new implementations are presented for full-valence calculations on linear polyenes (CnHn+2), which highlight the excellent computational scaling of the present implementations that can routinely handle active spaces of hundreds of electrons. The accuracy of the models is studied in the pi space of the polyenes, in hydrogen chains (H-50), and in the pi space of polyacene molecules. In all cases, the results compare favorably to density matrix renormalization group values. With the novel implementation of PQ, active spaces of 140 electrons in 140 orbitals can be solved in a matter of minutes on a single core workstation, and the relatively low polynomial scaling means that very large systems are also accessible using parallel computing. Published by AIP Publishing.

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