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: Qi Wang, Longfei Zhang
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Q
Accès en ligne:https://doaj.org/article/96e2df770d0e461887ed1838b75044b3
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