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Updated: Jan 14, 2026

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基于Cr3+的近红外的机器学习辅助发现

Amit Kumar1,2, Arslan Akbar1,2, Hannah Lesmes1,2

  • 1Department of Chemistry, University of Houston, Houston, Texas 77204, United States.

Chemistry of materials : a publication of the American Chemical Society
|October 20, 2025
PubMed
概括

机器学习准确地预测了替代中的晶场分裂 (Dq/B比). 这加快了用于各种应用的新近红外 (NIR) 发射材料的发现.

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Photoluminescence offers a wide range of applications due to its inherent sensitivity and selectivity. This technique allows for both direct and indirect analyses of the analyte. Direct quantitative analysis is possible when the analyte exhibits a favorable quantum yield for fluorescence or phosphorescence. However, an indirect analysis may be feasible if the analyte is not fluorescent or phosphorescent, or if the quantum yield is unfavorable. Indirect methods include reacting the analyte with...
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