Applies machine learning to predict properties of Mn<sup>4+</sup>-doped phosphors, suggesting improved models are effective.
We collect the largest experimental dataset and apply machine learning to study composition–property relations in Mn 4+ -doped phosphors. The resulting models outperform prior studies and show good agreement with experimental data.
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Que et al. (2026) studied this question.
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