Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56211
Title: Assessment of DLPNO-CCSD(T)-F12 and its use for the formulation of the low-cost and reliable L-W1X composite method
Contributor(s): Chan, Bun (author); Karton, Amir  (author)orcid 
Publication Date: 2022-08-05
DOI: 10.1002/jcc.26892
Handle Link: https://hdl.handle.net/1959.11/56211
Abstract: 

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(T1)-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-1 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-1). 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 (n+d)Z with jun-cc-pV(n+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(T1)-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(T1)-F12 method, and the L-W1X protocol that based on it, represent a useful means for obtaining accurate thermochemical quantities for larger systems.

Publication Type: Journal Article
Grant Details: ARC/FT170100373
Source of Publication: Journal of Computational Chemistry, 43(21), p. 1394-1402
Publisher: John Wiley & Sons, Inc
Place of Publication: United States of America
ISSN: 1096-987X
0192-8651
Fields of Research (FoR) 2020: 340701 Computational chemistry
Socio-Economic Objective (SEO) 2020: 280120 Expanding knowledge in the physical sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Publisher/associated links: https://onlinelibrary.wiley.com/doi/10.1002/jcc.26892
Appears in Collections:Journal Article
School of Science and Technology

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