Exploiting deep learning for predictable carbon dot design.
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DOI: 10.1039/d0cc07882d
Abstract: In this study, we developed a deep convolution neural network (DCNN) model for predicting the optical properties of carbon dots (CDs), including spectral properties and fluorescence color under ultraviolet irradiation. These results demonstrate the powerful… read more here.
Keywords: carbon dot; learning predictable; deep learning; dot design ... See more keywords