fig16

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

Figure 16. Multiscale perspective on GNNs, showing how they map atoms, grains, and entire components to graph representations and enable property prediction from the atomic to the macroscopic level. GNNs: Graph neural networks.

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