Strategy for Synthesizing Carbon Dots by Artificial Intelligence

Abstract Artificial intelligence analyzes data to find out the laws hidden behind the data. The decisive factors for carbon dots (CDs) synthesis can be screened out using artificial intelligence, enabling chemists to quickly and reliably obtain the optimal reaction parameters to synthesize the desired CDs. Compared with traditional synthetic methods, a lot of synthesis time and resources can be saved. Moreover, artificial intelligence technology is expected to be used in the study of CD mechanisms. Since there are many factors that affect the luminescence of CDs, and the structure of CDs is relatively complex, machine learning will automatically analyze the most essential characteristics from many factors. This will help people understand the luminescent mechanism and application of CDs more easily.