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https://hdl.handle.net/1959.11/56211
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DC Field | Value | Language |
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dc.contributor.author | Chan, Bun | en |
dc.contributor.author | Karton, Amir | en |
dc.date.accessioned | 2023-09-27T05:38:23Z | - |
dc.date.available | 2023-09-27T05:38:23Z | - |
dc.date.issued | 2022-08-05 | - |
dc.identifier.citation | Journal of Computational Chemistry, 43(21), p. 1394-1402 | en |
dc.identifier.issn | 1096-987X | en |
dc.identifier.issn | 0192-8651 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/56211 | - |
dc.description.abstract | <p>In the present study, we have investigated the performance of RIJCOSX DLPNOCCSD(T)-F12 methods for a wide range of systems. Calculations with a high-accuracy option ["DefGrid3 RIJCOSX DLPNO-CCSD(T<sub>1</sub>)-F12"] extrapolated to the complete-basis-set limit using the maug-cc-pV[D+d,T+d]Z basis sets provides fairly good agreements with the canonical CCSD(T)/CBS reference for a diverse set of thermochemical and kinetic properties [with mean absolute deviations (MADs) of ~1– 2 kJ mol<sup>-1</sup> except for atomization energies]. On the other hand, the low-cost "RIJCOSX DLPNO-CCSD(T)-F12D" option leads to substantial deviations for certain properties, notably atomization energies (MADs of up to tens of kJ mol<sup>-1</sup>). With the high-accuracy CBS approach, we have formulated the L-W1X method, which further includes a low-cost core–valence plus scalar-relativistic term. It shows generally good accuracy. For improved accuracies in specific cases, we advise replacing maug-cc-pV (<i>n</i>+d)Z with jun-cc-pV(<i>n</i>+d)Z for the calculation of electron affinities, and using well-constructed isodesmic-type reactions to obtain atomization energies. For medium-sized systems, DefGrid3 RIJCOSX DLPNO-CCSD(T<sub>1</sub>)-F12 calculations are several times faster than the corresponding canonical computation" the use of the local approximations (RIJCOSX and DLPNO) leads to a better scaling than that for the canonical calculation (from ~6–7 down to ~2–4 for our test systems). Thus, the DefGrid3 RIJCOSX DLPNO-CCSD(T<sub>1</sub>)-F12 method, and the L-W1X protocol that based on it, represent a useful means for obtaining accurate thermochemical quantities for larger systems.</p> | en |
dc.language | en | en |
dc.publisher | John Wiley & Sons, Inc | en |
dc.relation.ispartof | Journal of Computational Chemistry | en |
dc.title | Assessment of DLPNO-CCSD(T)-F12 and its use for the formulation of the low-cost and reliable L-W1X composite method | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1002/jcc.26892 | en |
dc.identifier.pmid | 35709311 | en |
local.contributor.firstname | Bun | en |
local.contributor.firstname | Amir | en |
local.relation.isfundedby | ARC | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | akarton@une.edu.au | en |
local.output.category | C1 | en |
local.grant.number | FT170100373 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | United States of America | en |
local.format.startpage | 1394 | en |
local.format.endpage | 1402 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 43 | en |
local.identifier.issue | 21 | en |
local.contributor.lastname | Chan | en |
local.contributor.lastname | Karton | en |
dc.identifier.staff | une-id:akarton | en |
local.profile.orcid | 0000-0002-7981-508X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/56211 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Assessment of DLPNO-CCSD(T)-F12 and its use for the formulation of the low-cost and reliable L-W1X composite method | en |
local.relation.fundingsourcenote | Tokyo Ohka Foundation for The Promotion of Science and Technology, Grant/Award Number: 21111 | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.relation.url | https://onlinelibrary.wiley.com/doi/10.1002/jcc.26892 | en |
local.relation.grantdescription | ARC/FT170100373 | en |
local.search.author | Chan, Bun | en |
local.search.author | Karton, Amir | en |
local.uneassociation | No | en |
dc.date.presented | 2022-06-16 | - |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.available | 2022 | - |
local.year.published | 2022 | en |
local.year.presented | 2022 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/436caa22-e121-4551-ac95-75e63b02f55d | en |
local.subject.for2020 | 340701 Computational chemistry | en |
local.subject.seo2020 | 280120 Expanding knowledge in the physical sciences | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
Appears in Collections: | Journal Article School of Science and Technology |
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