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A Multi-Mode Optoelectronic Device with Bionic Visual Synaptic Functionality and Self-Powered Capability
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DOI：10.1002/adfm.77607.png)
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Abstract
En 中文
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 In2S3/InSe van der Waals heterojunction. It exhibits conventional photoconductive detection capabilities, achieving a light on/off current ratio of 1.75 × 105 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.
Keywords:
2D materials
artificial synapses
biomimetic visual neural networks
encrypted optical communications
self-powered
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19
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3.4W
Citations:
32.1W
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