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.