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用于传感器内计算的全范德瓦尔斯双极铁电可配置光学异质突触

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

作者信息

Bai Jinxuan, He Dawei, Dang Bingjie, Liu Keqin, Yang Zhen, Wang Jiarong, Zhang Xiaoxian, Wang Yongsheng, Tao Yaoyu, Yang Yuchao

机构信息

Key Laboratory of Luminescence and Optical Information, Ministry of Education, Institute of Optoelectronic Technology, Beijing Jiaotong University, Beijing, 100044, China.

Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, 100871, China.

出版信息

Adv Mater. 2024 Dec;36(50):e2401060. doi: 10.1002/adma.202401060. Epub 2024 Oct 29.

DOI:10.1002/adma.202401060
PMID:39468917
Abstract

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.

摘要

视觉神经形态硬件的快速发展归因于其捕获、存储和处理来自环境的光信号的能力。现有视觉神经形态硬件的主要局限性在于,复杂功能的实现是以制造成本、硬件体积和能耗的增加为前提的。在本研究中,我们展示了一种基于三端范德华(vdW)异质结的光学突触器件,该器件能够实现光波长和强度的传感功能以及短期和长期突触可塑性。在图像识别任务中,我们构建了一个由这种光学突触器件组成的光学储能神经网络(ORNN)和一个可见光通信系统(VLC)。该ORNN在CIFAR-10彩色图像数据集中对10类50000幅彩色图像的识别率高达84.9%,并且VLC系统能够以仅0.4 nW的超低功耗实现高速传输。这项工作表明,通过合理设计,vdW异质结结构在视觉仿生等低功耗多功能融合应用任务中具有巨大的应用潜力。

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