Inverse design of glass structure with deep graph neural networks
The inverse design of the material for given target property is challenging for glasses due to their disordered non-prototypical structure. Wang and Zhang propose a data-driven property oriented inverse approach for design of glassy materials with desired functionalities.
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Nature Portfolio
2021
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oai:doaj.org-article:96e2df770d0e461887ed1838b75044b32021-12-02T14:55:09ZInverse design of glass structure with deep graph neural networks10.1038/s41467-021-25490-x2041-1723https://doaj.org/article/96e2df770d0e461887ed1838b75044b32021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25490-xhttps://doaj.org/toc/2041-1723The inverse design of the material for given target property is challenging for glasses due to their disordered non-prototypical structure. Wang and Zhang propose a data-driven property oriented inverse approach for design of glassy materials with desired functionalities.Qi WangLongfei ZhangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
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Science Q Qi Wang Longfei Zhang Inverse design of glass structure with deep graph neural networks |
description |
The inverse design of the material for given target property is challenging for glasses due to their disordered non-prototypical structure. Wang and Zhang propose a data-driven property oriented inverse approach for design of glassy materials with desired functionalities. |
format |
article |
author |
Qi Wang Longfei Zhang |
author_facet |
Qi Wang Longfei Zhang |
author_sort |
Qi Wang |
title |
Inverse design of glass structure with deep graph neural networks |
title_short |
Inverse design of glass structure with deep graph neural networks |
title_full |
Inverse design of glass structure with deep graph neural networks |
title_fullStr |
Inverse design of glass structure with deep graph neural networks |
title_full_unstemmed |
Inverse design of glass structure with deep graph neural networks |
title_sort |
inverse design of glass structure with deep graph neural networks |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/96e2df770d0e461887ed1838b75044b3 |
work_keys_str_mv |
AT qiwang inversedesignofglassstructurewithdeepgraphneuralnetworks AT longfeizhang inversedesignofglassstructurewithdeepgraphneuralnetworks |
_version_ |
1718389338429980672 |