无机材料学报

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面向紫光激发LED的Eu2+/Ce3+掺杂荧光粉数据库

周子淳1,2, 张翔1,2, 明辰1,2, 孙宜阳1,2   

  1. 1.中国科学院 上海硅酸盐研究所,上海 201899;
    2.中国科学院大学 材料科学与光电工程中心, 北京 100049
  • 收稿日期:2025-03-19 修回日期:2025-04-10
  • 通讯作者: 孙宜阳, 研究员. E-mail: yysun@mail.sic.ac.cn
  • 作者简介:周子淳(2000-), 男, 硕士研究生. E-mail: zhouzichun22@mails.ucas.ac.cn

Database of Eu2+ and Ce3+ Doped Phosphors for Development of Violet-light Excited White LEDs

ZHOU Zichun1,2, ZHANG Xiang1,2, MING Chen1,2, SUN Yiyang1,2   

  1. 1. Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201899, China;
    2. Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2025-03-19 Revised:2025-04-10
  • Contact: SUN Yiyang, professor. E-mail: yysun@mail.sic.ac.cn
  • About author:ZHOU Zichun (2000-), male, Master candidate. E-mail: zhouzichun22@mails.ucas.ac.cn

摘要: 商用荧光转换白光LED(pc-WLEDs)激发源为蓝光LED,这一方案存在两大固有缺陷:蓝光危害和低显色指数。针对上述技术瓶颈,学界提出了以400~420 nm波段紫光LED作为激发源的方案。然而,能够被紫光高效激发的荧光粉目前仍处于开发阶段。为探索新型紫光激发荧光粉,本研究基于大型语言模型构建了一个Eu2+和Ce3+掺杂荧光粉的数据库。通过系统分析9,551篇研究论文,本课题组提取并验证了822组荧光粉数据,涵盖了元素组成、晶体结构及激发/发射波长等关键参数。研究结果表明:相比于Ce3+掺杂体系,Eu2+掺杂荧光粉在紫光激发和红光发射上更具优势,特别是氮化物和硫化物基质中的Eu2+掺杂体系,在紫光激发上更有潜力。该数据库的建立为后续利用人工智能开发新型pc-WLEDs荧光粉提供了重要的数据支持。

关键词: 荧光粉, 紫光LED, 大语言模型, 数据库

Abstract: Commercial phosphor-converted white LEDs (pc-WLEDs) face two inherent limitations, namely, blue light hazard and low color rendering index, due to the use of blue LEDs as excitation source. To address these challenges, violet LEDs are proposed as an alternative solution. Currently, phosphors that can be efficiently excited by violet light (with wavelength from 400 to 420 nm) remain under development. In this study, we utilize large language models to construct a comprehensive database of Eu2+ and Ce3+ doped phosphors for discovering novel violet-excited phosphors. A total of 822 phosphor data entries, including elemental compositions, crystal structures, and excitation/emission wavelengths, are extracted and validated from 9,551 research papers. Compared with Ce3+ doped phosphors, the Eu2+ are in general more suited for violet-excited phosphors, as well as red-emitting phosphors. In particular, Eu2+ doped nitrides and sulfides are worth of exploration for violet-excited phosphors. This database is expected to be useful in future development of phosphors for pc-WLEDs based on artificial intelligence methods.

Key words: phosphor, violet LED, large language model, database

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