Q-MP2-OS: Moller-Plesset Correlation Energy by Quadrature
| dc.contributor.author | Barca, Giuseppe Maria Junior | |
| dc.contributor.author | McKenzie, Simon C | |
| dc.contributor.author | Bloomfield, Nathaniel | |
| dc.contributor.author | Gilbert, Andrew | |
| dc.contributor.author | Gill, Peter M W | |
| dc.date.accessioned | 2024-01-09T22:10:06Z | |
| dc.date.issued | 2020 | |
| dc.date.updated | 2022-09-25T08:16:23Z | |
| dc.description.abstract | We present a quadrature-based algorithm for computing the opposite-spin component of the MP2 correlation energy which scales quadratically with basis set size and is well-suited to large-scale parallelization. The key ideas, which are rooted in the earlier work of Hirata and co-workers, are to abandon all two-electron integrals, recast the energy as a seven-dimensional integral, approximate that integral by quadrature, and employ a cutoff strategy to minimize the number of intermediate quantities. We discuss our implementation in detail and show that it parallelizes almost perfectly on 840 cores for cyclosporine (a molecule with roughly 200 atoms), exhibits scaling for a sequence of polyglycines, and is principally limited by the accuracy of its quadrature | en_AU |
| dc.description.sponsorship | P.M.W.G. thanks the Australian Research Council for funding(Grants DP140104071 and DP160100246). This study has been (partially) supported through the grant NEXT No. ANR-10-LABX-0037 in the framework of the“Programme desInvestissements d’Avenir”. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 1549-9618 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/311283 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | American Chemical Society | en_AU |
| dc.relation | http://purl.org/au-research/grants/arc/DP140104071 | en_AU |
| dc.relation | http://purl.org/au-research/grants/arc/DP160100246 | en_AU |
| dc.rights | © 2020 American Chemical Society | en_AU |
| dc.source | Journal of Chemical Theory and Computation (JCTC) | en_AU |
| dc.title | Q-MP2-OS: Moller-Plesset Correlation Energy by Quadrature | en_AU |
| dc.type | Journal article | en_AU |
| local.bibliographicCitation.issue | 3 | en_AU |
| local.bibliographicCitation.lastpage | 1577 | en_AU |
| local.bibliographicCitation.startpage | 1568 | en_AU |
| local.contributor.affiliation | Barca, Giuseppe Maria Junior, College of Science, ANU | en_AU |
| local.contributor.affiliation | McKenzie, Simon C, University of Sydney | en_AU |
| local.contributor.affiliation | Bloomfield, Nathaniel, College of Science, ANU | en_AU |
| local.contributor.affiliation | Gilbert, Andrew, College of Science, ANU | en_AU |
| local.contributor.affiliation | Gill, Peter M W, University of Sydney | en_AU |
| local.contributor.authoruid | Barca, Giuseppe Maria Junior, u5482322 | en_AU |
| local.contributor.authoruid | Bloomfield, Nathaniel, u5351299 | en_AU |
| local.contributor.authoruid | Gilbert, Andrew, u4177325 | en_AU |
| local.description.embargo | 2099-12-31 | |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 460607 - High performance computing | en_AU |
| local.identifier.absfor | 340704 - Theoretical quantum chemistry | en_AU |
| local.identifier.ariespublication | a383154xPUB11230 | en_AU |
| local.identifier.citationvolume | 16 | en_AU |
| local.identifier.doi | 10.1021/acs.jctc.9b01142 | en_AU |
| local.identifier.scopusID | 2-s2.0-85081920864 | |
| local.identifier.thomsonID | WOS:000519337700018 | |
| local.publisher.url | https://pubs.acs.org/ | en_AU |
| local.type.status | Published Version | en_AU |
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