Interpretable AI method reveals hidden structure–property relationships in materials (IMAGE)
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The proposed method combines a graph neural network with hierarchical clustering to extract key features linking crystal structure to optical spectra, and then groups materials with similar structural and spectral characteristics, revealing patterns that can guide materials design.
Credit
Institute of Science Tokyo
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