A Multi‐Mode Optoelectronic Device with Bionic Visual Synaptic Functionality and Self‐Powered Capability
Haiqiang Huang, Yan Yang, Lei Liu, Fan Mu, Yifei Huang, Lujun Yang, Yukun Xue, Junqing Hu, Yingkai LiuABSTRACT
Advancing multimodal perception in artificial intelligence remains a challenge, requiring photodetectors with intelligent multi‐mode switching. Here, we present an innovative multifunctional photodetector based on a type‐II band‐aligned In 2 S 3 /InSe van der Waals heterojunction. It exhibits conventional photoconductive detection capabilities, achieving a light on/off current ratio of 1.75 × 10 5 under 380 nm relatively strong light illumination at a 5 V bias. It switches to a photonic synapse mode under weak light illumination, emulating human learning and forgetting behaviors, and exhibits the characteristics of visual neural synapses. Inspired by this, we simulated a biomimetic visual neural network capable of waste recognition and classification, achieving 97.77% identification accuracy. Without bias, the device exhibited self‐powered photodetection with an ultrafast response, high‐resolution imaging, and encrypted optical communication. A “waveform analysis” software was developed to decode the encrypted current signals, enabling automated data processing and secure communication. This study provides a foundation for innovative optoelectronic devices and efficient artificial vision systems, demonstrating significant potential for next‐generation multifunctional components.