Deep-learning analysis predicts Si valence and local structure in amorphous SiO x, indicating new characterization methods.
Deep-learning analysis of Si K-edge XANES for amorphous SiO x directly predicts Si valence and local structure from ensemble-averaged spectra, enabling quantitative characterization of composition–structure–property relationships.
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Fujikata et al. (2026) studied this question.
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