Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots

• Main Authors: Guo, Huazhang, Lu, Yuhao, Lei, Zhendong, Bao, Hong, Zhang, Mingwan, Wang, Zeming, Guan, Cuntai, Tang, Bijun, Liu, Zheng, Wang, Liang
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Machine learning; Multiobjective optimization
• Online Access: https://hdl.handle.net/10356/178818
• Institution: Nanyang Technological University

Carbon quantum dots (CQDs) have versatile applications in luminescence, whereas identifying optimal synthesis conditions has been challenging due to numerous synthesis parameters and multiple desired outcomes, creating an enormous search space. In this study, we present a novel multi-objective optim...