fig2

An optimized strategy for density prediction of intermetallics across varied crystal structures via graph neural network

Figure 2. A flowchart for predicting the density of intermetallic compounds using machine learning and GNN models, involving collecting raw data, creating feature pools, building models, and evaluating model performance. GNN: Graph neural network.

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