Full van der Waals Ambipolar Ferroelectric Configurable Optical Hetero‐Synapses for In‐Sensor Computing

• Published in: Advanced materials (Weinheim) Vol. 36; no. 50; pp. e2401060 - n/a
• Main Authors: Bai, Jinxuan, He, Dawei, Dang, Bingjie, Liu, Keqin, Yang, Zhen, Wang, Jiarong, Zhang, Xiaoxian, Wang, Yongsheng, Tao, Yaoyu, Yang, Yuchao
• Format: Journal Article
• Language: English
• Published: Germany Wiley Subscription Services, Inc 01.12.2024
• Subjects: Bionics; Color imagery; Communications systems; Energy consumption; Ferroelectricity; full van der Waals; Hardware; Heterojunctions; in‐sensor computing; Luminous intensity; Neural networks; Neuromorphic computing; optical reservoir neural network; Power management; Production costs; Synapses; Two‐dimensional ferroelectric materials; visible light communication; Visual tasks; full van der Waals; optical reservoir neural network; in‐sensor computing; visible light communication; Two‐dimensional ferroelectric materials
• ISSN: 0935-9648; 1521-4095; 1521-4095
• DOI: 10.1002/adma.202401060

The rapid development of visual neuromorphic hardware can be attributed to their ability to capture, store and process optical signals from the environment. The main limitation of existing visual neuromorphic hardware is that the realization of complex functions is premised on the increase of manufacturing cost, hardware volume and energy consumption. In this study, we demonstrated an optical synaptic device based on a three‐terminal van der Waals (vdW) heterojunction that can realize the sensing functions of light wavelength and intensity as well as short‐term and long‐term synaptic plasticity. In the image recognition task, we constructed an optical reservoir neural network (ORNN) and a visible light communication system (VLC) composed of this optical synaptic device. The ORNN has a recognition rate of up to 84.9% for 50 000 color images in 10 categories in the CIFAR‐10 color image dataset, and the VLC system can achieve high‐speed transmission with an ultra‐low power consumption of only 0.4 nW. This work shows that through reasonable design, vdW heterojunction structures have great application potential in low‐power multifunctional fusion application tasks such as visual bionics. This paper proposes an optical synapse based on van der Waals heterojunction. Based on this device, an optical reservoir neural network and a visible light communication system were developed, which successfully imitated the signal preprocessing and data transmission process of the human visual system for color images. This provides new ideas for the development of intelligent imaging systems.