fig6

Advances in graph neural networks for alloy design and properties predictions: a review

Figure 6. (A) Schematic of the MEGNet workflow: atoms are nodes, bonds are edges, and iterative message passing updates their features. Reproduced with permission from Ref.[24]. Copyright © 2019 American Chemical Society; (B) Crystal structures of Mg-Ni-M ternary intermetallics studied here (M = Mn, Ti, Al, Ge); colors distinguish the three element types. MEGNet: Materials graph network.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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