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.

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