Carbon dot-stabilized magnesium quantum dots for high-performance memristors and driven pulse diagnosis in traditional Chinese medicine

With the gradual exploration of memristors in artificial intelligence (AI) applications, the demand for robust stability of memristors is increasing. Previously, researchers proposed adding metal nanoparticles as charge capture materials to the functional layer of the memristor to improve the uniformity of CFs and increase the stability of the device. However, the directly doping metal atoms to the functional layer of the memristor does not prevent atomic aggregation, which reduces the availability of metal atoms. Here, we first loaded single Mg atoms into carbon to form Mg carbon dots (Mg-CDs), and the doping of Mg-CDs to the memristor device (Mg-CDMD) to stabilize device performance of the memristor and then completed. The Mg-CDMD exhibits record-low SET/RESET voltages (0.2 V/−0.3 V), ultrafast switching speeds (8.9 ns), a high resistance ratio (~106), and exceptional endurance (>1010 cycles). We also propose its application in medical diagnosis for human pulse monitoring based on the different responses of the device to different pulse trains. The pulse conditions are qualitatively translated into electrical conductance based on the analysis of pulse diagnosis in Traditional Chinese Medicine, and a circuit system is constructed to achieve recognition. By correlating conductance patterns with traditional Chinese medicine (TCM) diagnostics, the system successfully discriminates between normal pulses, string-like pulses, and slippery pulses. This artificial intelligence application based on memristors opens up a new research field and is expected to make significant contributions to the further development of Traditional Chinese Medicine.