Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56211
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dc.contributor.authorChan, Bunen
dc.contributor.authorKarton, Amiren
dc.date.accessioned2023-09-27T05:38:23Z-
dc.date.available2023-09-27T05:38:23Z-
dc.date.issued2022-08-05-
dc.identifier.citationJournal of Computational Chemistry, 43(21), p. 1394-1402en
dc.identifier.issn1096-987Xen
dc.identifier.issn0192-8651en
dc.identifier.urihttps://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.languageenen
dc.publisherJohn Wiley & Sons, Incen
dc.relation.ispartofJournal of Computational Chemistryen
dc.titleAssessment of DLPNO-CCSD(T)-F12 and its use for the formulation of the low-cost and reliable L-W1X composite methoden
dc.typeJournal Articleen
dc.identifier.doi10.1002/jcc.26892en
dc.identifier.pmid35709311en
local.contributor.firstnameBunen
local.contributor.firstnameAmiren
local.relation.isfundedbyARCen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailakarton@une.edu.auen
local.output.categoryC1en
local.grant.numberFT170100373en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage1394en
local.format.endpage1402en
local.peerreviewedYesen
local.identifier.volume43en
local.identifier.issue21en
local.contributor.lastnameChanen
local.contributor.lastnameKartonen
dc.identifier.staffune-id:akartonen
local.profile.orcid0000-0002-7981-508Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/56211en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAssessment of DLPNO-CCSD(T)-F12 and its use for the formulation of the low-cost and reliable L-W1X composite methoden
local.relation.fundingsourcenoteTokyo Ohka Foundation for The Promotion of Science and Technology, Grant/Award Number: 21111en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.urlhttps://onlinelibrary.wiley.com/doi/10.1002/jcc.26892en
local.relation.grantdescriptionARC/FT170100373en
local.search.authorChan, Bunen
local.search.authorKarton, Amiren
local.uneassociationNoen
dc.date.presented2022-06-16-
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2022-
local.year.published2022en
local.year.presented2022en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/436caa22-e121-4551-ac95-75e63b02f55den
local.subject.for2020340701 Computational chemistryen
local.subject.seo2020280120 Expanding knowledge in the physical sciencesen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
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School of Science and Technology
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