ZnO@Sodium Copper Chlorophyllin Nanoparticle-Based Optoelectronic Memristor for Multiwavelength Sensing and Color Image Recognition

To emulate the human color vision system, developing artificial optoelectronic synapses with multiwavelength discrimination capability is highly desired. In this work, we propose a novel optoelectronic memristor based on a Gelatin-ZnO@Sodium copper chlorophyllin (SCC) nanocomposite film. The device exhibits distinguishable response behaviors under red (680 nm), green (540 nm), and blue (430 nm) light stimuli, which enables color image perception and memory functions. Furthermore, by integrating optical potentiation and electrical depression behaviors, we implement the functionality of color image recognition in artificial neural networks. The accuracy exceeds 97.7% after only 350 training epochs. The wavelength-dependent photoresponse can be attributed to the wide absorption range of SCC and efficient carrier separation at the ZnO/SCC interface. This work provides new insights for developing efficient, multiwavelength neuromorphic vision system.