Dual‐Mode Conversion of Photodetector and Neuromorphic Vision Sensor via Bias Voltage Regulation on a Single Device

Author:

Feng Siyu12,Li Jiangxu1,Feng Lizhi134,Liu Zitong1,Wang Junchao1,Cui Cong1,Zhou Ouxiang1,Deng Lijie13,Xu Hanning1,Leng Bing5,Chen Xing‐Qiu1,Jiang Xin1,Liu Baodan34,Zhang Xinglai1ORCID

Affiliation:

1. Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences No. 72 Wenhua Road Shenyang 110016 China

2. School of Materials Science and Engineering University of Science and Technology of China No. 72 Wenhua Road Shenyang 110016 China

3. School of Material Science and Engineering Northeastern University No.11 Wenhua Road Shenyang 110819 China

4. Foshan Graduate School of Innovation Northeastern University No. 2, Zhihui Road Foshan 528300 China

5. Department of Plastic Surgery The First Affiliated Hospital of China Medical University No. 155 North Nanjing Street Shenyang 110001 China

Abstract

AbstractSimultaneous implementation of photodetector and neuromorphic vision sensor (NVS) on a single device faces a great challenge, due to the inherent speed discrepancy in their photoresponse characteristics. In this work, a trench‐bridged GaN/Ga2O3/GaN back‐to‐back double heterojunction array device is fabricated to enable the advanced functionalities of both devices on a single device. Interestingly, the device shows fast photoresponse and persistent photoconductivity behavior at low and high voltages, respectively, through the modulation of oxygen vacancy ionization and de‐ionization processes in Ga2O3. Consequently, the role of the optoelectronic device can be altered between the photodetector and NVS by simply adjusting the magnitude of bias voltage. As a photodetector, the device is able to realize fast optical imaging and optical communication functions. On the other hand, the device exhibits outstanding image sensing, image memory, and neuromorphic visual pre‐processing as an NVS. The utilization of NVS for image pre‐processing leads to a noticeable enhancement in both recognition accuracy and efficiency. The results presented in this work not only offer a new avenue to obtain complex functionality on a single optoelectronic device but also provide opportunities to implement advanced robotic vision systems and neuromorphic computing.

Funder

Natural Science Foundation of Liaoning Province

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Natural Science Foundation of Guangdong Province

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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