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.
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-09-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-25490-x |