首页|New Machine Learning Data Have Been Reported by Researchers at Beijing Jiaotong University (Machine Learning-enabled Discovery of Multi-resonance Tadf Molecules : Unraveling Plqy Predictions From Molecular Structures)
New Machine Learning Data Have Been Reported by Researchers at Beijing Jiaotong University (Machine Learning-enabled Discovery of Multi-resonance Tadf Molecules : Unraveling Plqy Predictions From Molecular Structures)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Unlocking the po tential of multi-resonance thermally activated delayed fluorescence (MR-TADF) mo lecules for advanced organic light-emitting diode applications requires an insig htful understanding of the relationship between molecular structures and photolu minescence quantum yield (PLQY). Utilizing molecular descriptors as inputs for m achine learning (ML) algorithms, further illuminated by SHapley Additive exPlana tions (SHAP) to interpret the ML model outcomes, this method effectively connect s molecular structures to PLQY, providing targeted guidance for molecular design .”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningBeijing Jiaotong University
NETL
NSTL
