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Universal structural parameter to quantitatively predict metallic glass properties
Quantitatively correlating the amorphous structure in metallic glasses (MGs) with their physical properties has been a long-sought goal. Here we introduce ‘flexibility volume' as a universal indicator, to bridge the structural state the MG is in with its properties, on both atomic and macroscop...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159863/ https://www.ncbi.nlm.nih.gov/pubmed/27941922 http://dx.doi.org/10.1038/ncomms13733 |
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author | Ding, Jun Cheng, Yong-Qiang Sheng, Howard Asta, Mark Ritchie, Robert O. Ma, Evan |
author_facet | Ding, Jun Cheng, Yong-Qiang Sheng, Howard Asta, Mark Ritchie, Robert O. Ma, Evan |
author_sort | Ding, Jun |
collection | PubMed |
description | Quantitatively correlating the amorphous structure in metallic glasses (MGs) with their physical properties has been a long-sought goal. Here we introduce ‘flexibility volume' as a universal indicator, to bridge the structural state the MG is in with its properties, on both atomic and macroscopic levels. The flexibility volume combines static atomic volume with dynamics information via atomic vibrations that probe local configurational space and interaction between neighbouring atoms. We demonstrate that flexibility volume is a physically appropriate parameter that can quantitatively predict the shear modulus, which is at the heart of many key properties of MGs. Moreover, the new parameter correlates strongly with atomic packing topology, and also with the activation energy for thermally activated relaxation and the propensity for stress-driven shear transformations. These correlations are expected to be robust across a very wide range of MG compositions, processing conditions and length scales. |
format | Online Article Text |
id | pubmed-5159863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51598632016-12-20 Universal structural parameter to quantitatively predict metallic glass properties Ding, Jun Cheng, Yong-Qiang Sheng, Howard Asta, Mark Ritchie, Robert O. Ma, Evan Nat Commun Article Quantitatively correlating the amorphous structure in metallic glasses (MGs) with their physical properties has been a long-sought goal. Here we introduce ‘flexibility volume' as a universal indicator, to bridge the structural state the MG is in with its properties, on both atomic and macroscopic levels. The flexibility volume combines static atomic volume with dynamics information via atomic vibrations that probe local configurational space and interaction between neighbouring atoms. We demonstrate that flexibility volume is a physically appropriate parameter that can quantitatively predict the shear modulus, which is at the heart of many key properties of MGs. Moreover, the new parameter correlates strongly with atomic packing topology, and also with the activation energy for thermally activated relaxation and the propensity for stress-driven shear transformations. These correlations are expected to be robust across a very wide range of MG compositions, processing conditions and length scales. Nature Publishing Group 2016-12-12 /pmc/articles/PMC5159863/ /pubmed/27941922 http://dx.doi.org/10.1038/ncomms13733 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Ding, Jun Cheng, Yong-Qiang Sheng, Howard Asta, Mark Ritchie, Robert O. Ma, Evan Universal structural parameter to quantitatively predict metallic glass properties |
title | Universal structural parameter to quantitatively predict metallic glass properties |
title_full | Universal structural parameter to quantitatively predict metallic glass properties |
title_fullStr | Universal structural parameter to quantitatively predict metallic glass properties |
title_full_unstemmed | Universal structural parameter to quantitatively predict metallic glass properties |
title_short | Universal structural parameter to quantitatively predict metallic glass properties |
title_sort | universal structural parameter to quantitatively predict metallic glass properties |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159863/ https://www.ncbi.nlm.nih.gov/pubmed/27941922 http://dx.doi.org/10.1038/ncomms13733 |
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