fig6

Advancing carbon dots research with machine learning: a comprehensive review

Figure 6. (A) Emission color and wavelength of CDs optimized via an ANN ensemble approach. This figure is quoted with permission from Senanayake et al.[83], Copyright 2022, American Chemical Society; (B) Phosphorescence lifetime of CDs improved using the XGBoost model. This figure is quoted with permission from Muyassiroh et al.[84], Copyright 2024, American Chemical Society. CDs: Carbon dots; ANN: artificial neural network; XGBoost: eXtreme gradient boosting; UV: ultraviolet light; PA: phosphoric acid; EDA: ethylenediamine; QR: quick response code.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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