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A combined DFT and machine learning to predict the bond lengths in rare earth-doped inorganic crystals
更新时间：2025-11-04

    • A combined DFT and machine learning to predict the bond lengths in rare earth-doped inorganic crystals

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    • “In the field of inorganic crystal materials, experts have combined first principles calculations and machine learning to achieve accurate prediction of local structure bond lengths of rare earth ions, providing an important approach for the structural and performance design of rare earth doped inorganic crystal materials.”
    • Chinese Journal of Luminescence   Pages: 1-11(2025)

    • DOI：10.37188/CJL.20250215    

      CLC：
    • CSTR：32170.14.CJL.20250215    

    • Published Online：28 October 2025，

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  • Chen Bingrong,He Fengting,Yu Puy Mang Tam,et al.A combined DFT and machine learning to predict the bond lengths in rare earth-doped inorganic crystals[J].Chinese Journal of Luminescence, DOI：10.37188/CJL.20250215 CSTR： 32170.14.CJL.20250215.

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