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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Auteurs principaux: | , |
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Format: | article |
Langue: | EN |
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Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/96e2df770d0e461887ed1838b75044b3 |
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