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<p>It is highly desirable that artificial circularly polarized phosphorescent materials with high luminescence asymmetry factor (<i>g</i><sub>lum</sub>), narrowband emission and tunable chiral phosphorescent performance can be constructed. Especially, precise control and simultaneous independent switching of circularly polarized fluorescent and phosphorescent performance for the same molecules remain a formidable challenge. Herein, we propose a strategy to customized design of circularly polarized phosphorescent materials based on large language models and transfer learning methods, which not only enables efficient identification of suitable synthesis precursors, but also provides valuable guidance for experimental procedures. We demonstrate the significant advantages of transfer learning with limited chemical data, and precisely fabricate films with high <i>g</i><sub>lum</sub> (1.86), narrow full-width at half-maximum (49 nm) and customized circularly polarized phosphorescent performance with targeted spectral position. The inverse customization of materials with user-specified circularly polarized fluorescent/phosphorescent performance can be achieved, favoring their application in multicolor display and multidimensional information encryption.</p>

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Design of circularly polarized phosphorescence materials guided by transfer learning

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月29日

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  • Xu Liu,
  • Yihan Zhang,
  • Yifan Xie,
  • Ledu Wang,
  • Liyu Gan,
  • Jialei Li,
  • Jiahe Li,
  • Hongli Zhang,
  • Linjiang Chen,
  • Weiwei Shang,
  • Jun Jiang,
  • Gang Zou

摘要

It is highly desirable that artificial circularly polarized phosphorescent materials with high luminescence asymmetry factor (glum), narrowband emission and tunable chiral phosphorescent performance can be constructed. Especially, precise control and simultaneous independent switching of circularly polarized fluorescent and phosphorescent performance for the same molecules remain a formidable challenge. Herein, we propose a strategy to customized design of circularly polarized phosphorescent materials based on large language models and transfer learning methods, which not only enables efficient identification of suitable synthesis precursors, but also provides valuable guidance for experimental procedures. We demonstrate the significant advantages of transfer learning with limited chemical data, and precisely fabricate films with high glum (1.86), narrow full-width at half-maximum (49 nm) and customized circularly polarized phosphorescent performance with targeted spectral position. The inverse customization of materials with user-specified circularly polarized fluorescent/phosphorescent performance can be achieved, favoring their application in multicolor display and multidimensional information encryption.