Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published September 14, 2007 | Published + Accepted Version
Journal Article Open

Canonical transformation theory from extended normal ordering

Abstract

The canonical transformation theory of Yanai and Chan [J. Chem. Phys. 124, 194106 (2006)] provides a rigorously size-extensive description of dynamical correlation in multireference problems. Here we describe a new formulation of the theory based on the extended normal ordering procedure of Mukherjee and Kutzelnigg [J. Chem. Phys. 107, 432 (1997)]. On studies of the water, nitrogen, and iron oxide potential energy curves, the linearized canonical transformation singles and doubles theory is competitive in accuracy with some of the best multireference methods, such as the multireference averaged coupled pair functional, while computational timings (in the case of the iron oxide molecule) are two to three orders of magnitude faster and comparable to those of the complete active space second-order perturbation theory. The results presented here are greatly improved both in accuracy and in cost over our earlier study as the result of a new numerical algorithm for solving the amplitude equations.

Additional Information

© 2007 American Institute of Physics. Received 7 May 2007; accepted 26 June 2007; published online 12 September 2007. This work was supported by Cornell University, the National Science Foundation CAREER program CHE-0645380, and the David and Lucile Packard Foundation. The authors also acknowledge a grant of computer time at the Research Center for Computational Science, Okazaki, Japan, with which some of these calculations were performed.

Attached Files

Published - 1_2E2761870.pdf

Accepted Version - 0707.3128.pdf

Files

1_2E2761870.pdf
Files (1.2 MB)
Name Size Download all
md5:fb2f19d0d237accec0c209a558f49ffc
858.9 kB Preview Download
md5:26156d79460c1a2b4b09fd8bf24b0fc4
329.4 kB Preview Download

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023