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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Detalles Bibliográficos
Autores principales: Qi Wang, Longfei Zhang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Q
Acceso en línea:https://doaj.org/article/96e2df770d0e461887ed1838b75044b3
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