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

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

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...

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Bibliographic Details
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: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Machine learning
Multiobjective optimization
Online Access:https://hdl.handle.net/10356/178818

Internet

https://hdl.handle.net/10356/178818

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