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Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene

Experimental isotherms of N(2) and CO(2) on carbon‐based porous materials and models of the physisorption of gases on surfaces are used to obtain the pore size distribution (PSD). An accurate modelization of the physisorption of N(2) and CO(2) on the surface of carbon‐based porous materials is impor...

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Autores principales: Rayón, Víctor M., Cabria, Iván
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328377/
https://www.ncbi.nlm.nih.gov/pubmed/35668546
http://dx.doi.org/10.1002/jcc.26945
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author Rayón, Víctor M.
Cabria, Iván
author_facet Rayón, Víctor M.
Cabria, Iván
author_sort Rayón, Víctor M.
collection PubMed
description Experimental isotherms of N(2) and CO(2) on carbon‐based porous materials and models of the physisorption of gases on surfaces are used to obtain the pore size distribution (PSD). An accurate modelization of the physisorption of N(2) and CO(2) on the surface of carbon‐based porous materials is important to obtain accurate N(2) and CO(2) storage capacities and reliable PSDs. Physisorption depends on the dispersion interactions. High precision ab initio methods, such as CCSD(T), consider accurately the dispersion interactions, but they are computationally expensive. Double hybrid, hybrid and DFT‐based methods are much less expensive. In the case of graphene, there are experimental data of the adsorption of N(2) and CO(2) on graphite that can be used to build the Steele interaction potential of these gases on graphene. The goal is to find out hybrid and/or DFT methods that are as accurate as the CCSD(T) on benzene and as accurate as the experimental results on graphene. Calculations of the interaction energy curves of N(2) and CO(2) on benzene and graphene have been carried out using the CCSD(T) method and several double hybrid, hybrid, and DFT methods that consider the dispersion interactions. The energy curves on benzene have been compared to the CCSD(T) and the energy curves on graphene have been compared with the Steele energy curves. The comparisons indicate that double hybrids with dispersion corrections and ωB97 based DFT methods are accurate enough for benzene. For graphene, only the PBE‐XDM functional has a good agreement with the Steele energy curves.
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spelling pubmed-93283772022-07-30 Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene Rayón, Víctor M. Cabria, Iván J Comput Chem Research Articles Experimental isotherms of N(2) and CO(2) on carbon‐based porous materials and models of the physisorption of gases on surfaces are used to obtain the pore size distribution (PSD). An accurate modelization of the physisorption of N(2) and CO(2) on the surface of carbon‐based porous materials is important to obtain accurate N(2) and CO(2) storage capacities and reliable PSDs. Physisorption depends on the dispersion interactions. High precision ab initio methods, such as CCSD(T), consider accurately the dispersion interactions, but they are computationally expensive. Double hybrid, hybrid and DFT‐based methods are much less expensive. In the case of graphene, there are experimental data of the adsorption of N(2) and CO(2) on graphite that can be used to build the Steele interaction potential of these gases on graphene. The goal is to find out hybrid and/or DFT methods that are as accurate as the CCSD(T) on benzene and as accurate as the experimental results on graphene. Calculations of the interaction energy curves of N(2) and CO(2) on benzene and graphene have been carried out using the CCSD(T) method and several double hybrid, hybrid, and DFT methods that consider the dispersion interactions. The energy curves on benzene have been compared to the CCSD(T) and the energy curves on graphene have been compared with the Steele energy curves. The comparisons indicate that double hybrids with dispersion corrections and ωB97 based DFT methods are accurate enough for benzene. For graphene, only the PBE‐XDM functional has a good agreement with the Steele energy curves. John Wiley & Sons, Inc. 2022-06-06 2022-08-05 /pmc/articles/PMC9328377/ /pubmed/35668546 http://dx.doi.org/10.1002/jcc.26945 Text en © 2022 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Rayón, Víctor M.
Cabria, Iván
Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene
title Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene
title_full Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene
title_fullStr Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene
title_full_unstemmed Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene
title_short Assessment of density functional approximations for N(2) and CO(2) physisorption on benzene and graphene
title_sort assessment of density functional approximations for n(2) and co(2) physisorption on benzene and graphene
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328377/
https://www.ncbi.nlm.nih.gov/pubmed/35668546
http://dx.doi.org/10.1002/jcc.26945
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