Interpretable AI in materials discovery: Uncovering how models make predictions
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 A method to interpret artificial intelligence (AI)…
bubmagJune 15, 2026