首页|New Machine Learning Study Findings Have Been Reported by Investigators at Xiamen University (Machine-learning-assisted Performance Improvements for Multi-resonance Thermally Activated Delayed Fluorescence Molecules)

New Machine Learning Study Findings Have Been Reported by Investigators at Xiamen University (Machine-learning-assisted Performance Improvements for Multi-resonance Thermally Activated Delayed Fluorescence Molecules)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting out of Xiamen, People’s Republic of China, by NewsRx editors, research stated, “With favorablecolour purity, multi-resonance thermally activated delayed fluorescence (MR-TADF) molecules exhibitenormous potential in high-definition displays. Due to the relatively small chemical space of MR-TADFmolecules, it is challenging to improve molecular performance through domain-specific expertise alone.”

XiamenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiamen University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Jan.8)