Abstract:Circularly polarized luminescence (CPL) materials have garnered significant interest due to their potential applications in chiral functional devices. Synthesizing CPL materials with a high dissymmetry factor (glum) remains a significant challenge. Inspired by efficient machine learning (ML) applications in scientific research, this work demonstrates ML‐based techniques for the first time to guide the synthesis of G‐quartet‐based CPL gels with high glum values and multiple chiral regulation strategies. Employi… Show more
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