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Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials

Molecular adsorption in nanoporous materials has many large-scale industrial applications ranging from separation to storage. To design the best materials, computational simulations are key to guiding the experimentation and engineering processes. Because nanoporous materials exist in a plethora of...

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Autores principales: Ren, Emmanuel, Coudert, François-Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931060/
https://www.ncbi.nlm.nih.gov/pubmed/36819873
http://dx.doi.org/10.1039/d2sc05810c
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author Ren, Emmanuel
Coudert, François-Xavier
author_facet Ren, Emmanuel
Coudert, François-Xavier
author_sort Ren, Emmanuel
collection PubMed
description Molecular adsorption in nanoporous materials has many large-scale industrial applications ranging from separation to storage. To design the best materials, computational simulations are key to guiding the experimentation and engineering processes. Because nanoporous materials exist in a plethora of forms, we need to speed up the existing simulation tools to be able to screen databases of hundreds of thousands of structures. Here, we describe a new algorithm that quickly calculates adsorption enthalpies by sampling the surface of the material instead of the whole porous space. This surface sampling has been tested on the CoRE MOF 2019 database and has been proven to be more than 2 orders of magnitude faster than the gold standard method (Widom insertion), with an acceptable level of error on an enthalpy value of 0.34 kJ mol(−1), and is therefore proposed as a valuable addition to the high-throughput screening toolbox.
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spelling pubmed-99310602023-02-16 Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials Ren, Emmanuel Coudert, François-Xavier Chem Sci Chemistry Molecular adsorption in nanoporous materials has many large-scale industrial applications ranging from separation to storage. To design the best materials, computational simulations are key to guiding the experimentation and engineering processes. Because nanoporous materials exist in a plethora of forms, we need to speed up the existing simulation tools to be able to screen databases of hundreds of thousands of structures. Here, we describe a new algorithm that quickly calculates adsorption enthalpies by sampling the surface of the material instead of the whole porous space. This surface sampling has been tested on the CoRE MOF 2019 database and has been proven to be more than 2 orders of magnitude faster than the gold standard method (Widom insertion), with an acceptable level of error on an enthalpy value of 0.34 kJ mol(−1), and is therefore proposed as a valuable addition to the high-throughput screening toolbox. The Royal Society of Chemistry 2023-01-17 /pmc/articles/PMC9931060/ /pubmed/36819873 http://dx.doi.org/10.1039/d2sc05810c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Ren, Emmanuel
Coudert, François-Xavier
Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials
title Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials
title_full Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials
title_fullStr Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials
title_full_unstemmed Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials
title_short Rapid adsorption enthalpy surface sampling (RAESS) to characterize nanoporous materials
title_sort rapid adsorption enthalpy surface sampling (raess) to characterize nanoporous materials
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931060/
https://www.ncbi.nlm.nih.gov/pubmed/36819873
http://dx.doi.org/10.1039/d2sc05810c
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