Researchers developed a method to open the "black box" of AI materials models by extracting and analyzing the internal features learned…
Researchers developed a method to open the "black box" of AI materials models by extracting and analyzing the internal features learned during prediction. The approach successfully grouped materials with similar atomic structures and optical absorption spectra, revealing how structural motifs drive material properties and providing interpretable design rules for discovering new functional materials. https://advanced.onlinelibrary.wiley.com/doi/10.1002/aidi.202600007
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