Published October 14, 2006 | Version Published + Accepted Version
Journal Article Open

Multireference correlation in long molecules with the quadratic scaling density matrix renormalization group

  • 1. ROR icon Cornell University

Abstract

We have devised a local ab initio density matrix renormalization group algorithm to describe multireference correlations in large systems. For long molecules that are extended in one of their spatial dimensions, we can obtain an exact characterization of correlation, in the given basis, with a cost that scales only quadratically with the size of the system. The reduced scaling is achieved solely through integral screening and without the construction of correlation domains. We demonstrate the scaling, convergence, and robustness of the algorithm in polyenes and hydrogen chains. We converge to exact correlation energies (in the sense of full configuration interaction, with 1–10μE_h precision) in all cases and correlate up to 100 electrons in 100 active orbitals. We further use our algorithm to obtain exact energies for the metal-insulator transition in hydrogen chains and compare and contrast our results with those from conventional quantum chemical methods.

Additional Information

© 2006 American Institute of Physics. Received 8 June 2006; accepted 2 August 2006; published online 9 October 2006. One of the authors (J.H.) is funded by a Kekulé Fellowship of the Fond der Chemischen Industrie (Fund of the German Chemical Industry). Another author (G.K.C.) acknowledges support from Cornell University and the Cornell Center for Materials Research (CCMR). Computations were carried out in part on the Nanolab-Cluster of the Cornell NanoScale Science & Technology Facility (CNF) supported by NSF ECS 03-05765.

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Published - 1_2E2345196.pdf

Accepted Version - 0606115.pdf

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Additional details

Additional titles

Alternative title
Quadratic Scaling Multireference Correlation in Long Molecules with the Density Matrix Renormalization Group

Identifiers

Eprint ID
72986
Resolver ID
CaltechAUTHORS:20161220-115105133

Related works

Funding

Fond der Chemischen Industrie
Cornell University
NSF
ECS 03-05765
Department of Energy (DOE)
DE-AC06-76RLO 1830

Dates

Created
2016-12-20
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Updated
2021-11-11
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