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...
| Главные авторы: | , , , , , , , , , |
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| Другие авторы: | |
| Формат: | Journal Article |
| Язык: | English |
| Опубликовано: |
2024
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| Предметы: | |
| Online-ссылка: | https://hdl.handle.net/10356/178818 |