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Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals

[Image: see text] We study the optimal tuning of the free parameters in range-separated double hybrid functionals, based on enforcing the exact conditions of piecewise linearity and spin constancy. We find that introducing the range separation in both the exchange and the correlation terms allows fo...

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Autores principales: Prokopiou, Georgia, Hartstein, Michal, Govind, Niranjan, Kronik, Leeor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009176/
https://www.ncbi.nlm.nih.gov/pubmed/35369687
http://dx.doi.org/10.1021/acs.jctc.2c00082
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author Prokopiou, Georgia
Hartstein, Michal
Govind, Niranjan
Kronik, Leeor
author_facet Prokopiou, Georgia
Hartstein, Michal
Govind, Niranjan
Kronik, Leeor
author_sort Prokopiou, Georgia
collection PubMed
description [Image: see text] We study the optimal tuning of the free parameters in range-separated double hybrid functionals, based on enforcing the exact conditions of piecewise linearity and spin constancy. We find that introducing the range separation in both the exchange and the correlation terms allows for the minimization of both fractional charge and fractional spin errors for singlet atoms. The optimal set of parameters is system specific, underlining the importance of the tuning procedure. We test the performance of the resulting optimally tuned functionals for the dissociation curves of diatomic molecules. We find that they recover the correct dissociation curve for the one-electron system, H(2)(+), and improve the dissociation curves of many-electron molecules such as H(2) and Li(2), but they also yield a nonphysical maximum and only converge to the correct dissociation limit at very large distances.
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spelling pubmed-90091762022-04-14 Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals Prokopiou, Georgia Hartstein, Michal Govind, Niranjan Kronik, Leeor J Chem Theory Comput [Image: see text] We study the optimal tuning of the free parameters in range-separated double hybrid functionals, based on enforcing the exact conditions of piecewise linearity and spin constancy. We find that introducing the range separation in both the exchange and the correlation terms allows for the minimization of both fractional charge and fractional spin errors for singlet atoms. The optimal set of parameters is system specific, underlining the importance of the tuning procedure. We test the performance of the resulting optimally tuned functionals for the dissociation curves of diatomic molecules. We find that they recover the correct dissociation curve for the one-electron system, H(2)(+), and improve the dissociation curves of many-electron molecules such as H(2) and Li(2), but they also yield a nonphysical maximum and only converge to the correct dissociation limit at very large distances. American Chemical Society 2022-04-02 2022-04-12 /pmc/articles/PMC9009176/ /pubmed/35369687 http://dx.doi.org/10.1021/acs.jctc.2c00082 Text en © 2022 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 Prokopiou, Georgia
Hartstein, Michal
Govind, Niranjan
Kronik, Leeor
Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals
title Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals
title_full Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals
title_fullStr Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals
title_full_unstemmed Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals
title_short Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals
title_sort optimal tuning perspective of range-separated double hybrid functionals
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009176/
https://www.ncbi.nlm.nih.gov/pubmed/35369687
http://dx.doi.org/10.1021/acs.jctc.2c00082
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