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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.… Click to show full 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 potential of DCNN for guiding the synthesis of CDs.
Keywords:
carbon dot;
learning predictable;
deep learning;
dot design;
exploiting deep;
predictable carbon
Journal Title: Chemical communications
Year Published: 2020
Link to full text (if available)
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Journal Title: Chemical communications
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!