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Review: understanding the properties of amorphous materials with high-performance computing methods

Amorphous materials have no long-range order in their atomic structure. This makes much of the formalism for the study of crystalline materials irrelevant, and so elucidating their structure and properties is challenging. The use of computational methods is a powerful complement to experimental stud...

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Detalles Bibliográficos
Autor principal: Christie, J. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200347/
https://www.ncbi.nlm.nih.gov/pubmed/37211037
http://dx.doi.org/10.1098/rsta.2022.0251
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author Christie, J. K.
author_facet Christie, J. K.
author_sort Christie, J. K.
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description Amorphous materials have no long-range order in their atomic structure. This makes much of the formalism for the study of crystalline materials irrelevant, and so elucidating their structure and properties is challenging. The use of computational methods is a powerful complement to experimental studies, and in this paper we review the use of high-performance computing methods in the simulation of amorphous materials. Five case studies are presented to showcase the wide range of materials and computational methods available to practitioners in this field. This article is part of a discussion meeting issue ‘Supercomputing simulations of advanced materials’.
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spelling pubmed-102003472023-05-22 Review: understanding the properties of amorphous materials with high-performance computing methods Christie, J. K. Philos Trans A Math Phys Eng Sci Articles Amorphous materials have no long-range order in their atomic structure. This makes much of the formalism for the study of crystalline materials irrelevant, and so elucidating their structure and properties is challenging. The use of computational methods is a powerful complement to experimental studies, and in this paper we review the use of high-performance computing methods in the simulation of amorphous materials. Five case studies are presented to showcase the wide range of materials and computational methods available to practitioners in this field. 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/PMC10200347/ /pubmed/37211037 http://dx.doi.org/10.1098/rsta.2022.0251 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
Christie, J. K.
Review: understanding the properties of amorphous materials with high-performance computing methods
title Review: understanding the properties of amorphous materials with high-performance computing methods
title_full Review: understanding the properties of amorphous materials with high-performance computing methods
title_fullStr Review: understanding the properties of amorphous materials with high-performance computing methods
title_full_unstemmed Review: understanding the properties of amorphous materials with high-performance computing methods
title_short Review: understanding the properties of amorphous materials with high-performance computing methods
title_sort review: understanding the properties of amorphous materials with high-performance computing methods
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200347/
https://www.ncbi.nlm.nih.gov/pubmed/37211037
http://dx.doi.org/10.1098/rsta.2022.0251
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