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Reduced-Scaling Double Hybrid Density Functional Theory with Rapid Basis Set Convergence through Localized Pair Natural Orbital F12
[Image: see text] Following earlier work [Mehta, N.; Martin, J. M. L. J. Chem. Theory Comput.2022, 10.1021/acs.jctc.2c00426] that showed how the slow basis set convergence of the double hybrid density functional theory can be obviated by the use of F12 explicit correlation in the GLPT2 step (second...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575149/ https://www.ncbi.nlm.nih.gov/pubmed/36178852 http://dx.doi.org/10.1021/acs.jpclett.2c02620 |
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author | Mehta, Nisha Martin, Jan M. L. |
author_facet | Mehta, Nisha Martin, Jan M. L. |
author_sort | Mehta, Nisha |
collection | PubMed |
description | [Image: see text] Following earlier work [Mehta, N.; Martin, J. M. L. J. Chem. Theory Comput.2022, 10.1021/acs.jctc.2c00426] that showed how the slow basis set convergence of the double hybrid density functional theory can be obviated by the use of F12 explicit correlation in the GLPT2 step (second order Görling-Levy perturbation theory), we demonstrate here for the very large and chemically diverse GMTKN55 benchmark suite that the CPU time scaling of this step can be reduced (asymptotically linearized) using the localized pair natural orbital (PNO-L) approximation at negligible cost in accuracy. |
format | Online Article Text |
id | pubmed-9575149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-95751492022-10-18 Reduced-Scaling Double Hybrid Density Functional Theory with Rapid Basis Set Convergence through Localized Pair Natural Orbital F12 Mehta, Nisha Martin, Jan M. L. J Phys Chem Lett [Image: see text] Following earlier work [Mehta, N.; Martin, J. M. L. J. Chem. Theory Comput.2022, 10.1021/acs.jctc.2c00426] that showed how the slow basis set convergence of the double hybrid density functional theory can be obviated by the use of F12 explicit correlation in the GLPT2 step (second order Görling-Levy perturbation theory), we demonstrate here for the very large and chemically diverse GMTKN55 benchmark suite that the CPU time scaling of this step can be reduced (asymptotically linearized) using the localized pair natural orbital (PNO-L) approximation at negligible cost in accuracy. American Chemical Society 2022-09-30 2022-10-13 /pmc/articles/PMC9575149/ /pubmed/36178852 http://dx.doi.org/10.1021/acs.jpclett.2c02620 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Mehta, Nisha Martin, Jan M. L. Reduced-Scaling Double Hybrid Density Functional Theory with Rapid Basis Set Convergence through Localized Pair Natural Orbital F12 |
title | Reduced-Scaling Double Hybrid Density Functional Theory
with Rapid Basis Set Convergence through Localized Pair Natural Orbital
F12 |
title_full | Reduced-Scaling Double Hybrid Density Functional Theory
with Rapid Basis Set Convergence through Localized Pair Natural Orbital
F12 |
title_fullStr | Reduced-Scaling Double Hybrid Density Functional Theory
with Rapid Basis Set Convergence through Localized Pair Natural Orbital
F12 |
title_full_unstemmed | Reduced-Scaling Double Hybrid Density Functional Theory
with Rapid Basis Set Convergence through Localized Pair Natural Orbital
F12 |
title_short | Reduced-Scaling Double Hybrid Density Functional Theory
with Rapid Basis Set Convergence through Localized Pair Natural Orbital
F12 |
title_sort | reduced-scaling double hybrid density functional theory
with rapid basis set convergence through localized pair natural orbital
f12 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575149/ https://www.ncbi.nlm.nih.gov/pubmed/36178852 http://dx.doi.org/10.1021/acs.jpclett.2c02620 |
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