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Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions

The question is addressed in how far current modelling strategies are capable of modelling dynamic phenomena in realistic nanostructured materials at operating conditions. Nanostructured materials used in applications are far from perfect; they possess a broad range of heterogeneities in space and t...

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Autor principal: Van Speybroeck, Veronique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200353/
https://www.ncbi.nlm.nih.gov/pubmed/37211031
http://dx.doi.org/10.1098/rsta.2022.0239
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author Van Speybroeck, Veronique
author_facet Van Speybroeck, Veronique
author_sort Van Speybroeck, Veronique
collection PubMed
description The question is addressed in how far current modelling strategies are capable of modelling dynamic phenomena in realistic nanostructured materials at operating conditions. Nanostructured materials used in applications are far from perfect; they possess a broad range of heterogeneities in space and time extending over several orders of magnitude. Spatial heterogeneities from the subnanometre to the micrometre scale in crystal particles with a finite size and specific morphology, impact the material's dynamics. Furthermore, the material's functional behaviour is largely determined by the operating conditions. Currently, there exists a huge length–time scale gap between attainable theoretical length–time scales and experimentally relevant scales. Within this perspective, three key challenges are highlighted within the molecular modelling chain to bridge this length–time scale gap. Methods are needed that enable (i) building structural models for realistic crystal particles having mesoscale dimensions with isolated defects, correlated nanoregions, mesoporosity, internal and external surfaces; (ii) the evaluation of interatomic forces with quantum mechanical accuracy albeit at much lower computational cost than the currently used density functional theory methods and (iii) derivation of the kinetics of phenomena taking place in a multi-length–time scale window to obtain an overall view of the dynamics of the process. This article is part of a discussion meeting issue ‘Supercomputing simulations of advanced materials’.
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spelling pubmed-102003532023-05-22 Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions Van Speybroeck, Veronique Philos Trans A Math Phys Eng Sci Articles The question is addressed in how far current modelling strategies are capable of modelling dynamic phenomena in realistic nanostructured materials at operating conditions. Nanostructured materials used in applications are far from perfect; they possess a broad range of heterogeneities in space and time extending over several orders of magnitude. Spatial heterogeneities from the subnanometre to the micrometre scale in crystal particles with a finite size and specific morphology, impact the material's dynamics. Furthermore, the material's functional behaviour is largely determined by the operating conditions. Currently, there exists a huge length–time scale gap between attainable theoretical length–time scales and experimentally relevant scales. Within this perspective, three key challenges are highlighted within the molecular modelling chain to bridge this length–time scale gap. Methods are needed that enable (i) building structural models for realistic crystal particles having mesoscale dimensions with isolated defects, correlated nanoregions, mesoporosity, internal and external surfaces; (ii) the evaluation of interatomic forces with quantum mechanical accuracy albeit at much lower computational cost than the currently used density functional theory methods and (iii) derivation of the kinetics of phenomena taking place in a multi-length–time scale window to obtain an overall view of the dynamics of the process. This article is part of a discussion meeting issue ‘Supercomputing simulations of advanced materials’. The Royal Society 2023-07-10 2023-05-22 /pmc/articles/PMC10200353/ /pubmed/37211031 http://dx.doi.org/10.1098/rsta.2022.0239 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Van Speybroeck, Veronique
Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
title Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
title_full Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
title_fullStr Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
title_full_unstemmed Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
title_short Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
title_sort challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200353/
https://www.ncbi.nlm.nih.gov/pubmed/37211031
http://dx.doi.org/10.1098/rsta.2022.0239
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