High Photoresponsivity and Fast Response Speed Ferroelectric Photomemristor for Artificial Visual System Application

Author:

Zhao Zhen1,Wang Zhanfeng1,Xu Jikang2,Zhao Pengli2,Wang Jianning2,Wang Yongrui2,Zhang Weifeng2,Li Changliang1,Cui Haozhen2,Wang Jiacheng2,Zhang Yinxing2,Sun Jiameng2,Pei Yifei1,Guo Zhenqiang1,Faraj Yousef3,Chen Jingsheng4,Li Shushen15,Yan Xiaobing1ORCID

Affiliation:

1. Key Laboratory of Optic‐Electronic Information Materials of Hebei Province Institute of Life Science and Green Development Key Laboratory of Brain‐Like Neuromorphic Devices and Systems of Hebei Province College of Physics Science and Technology Hebei University Baoding Hebei 071002 P. R. China

2. College of Electronic Information Engineering Hebei University Baoding Hebei 071002 P. R. China

3. School of Natural Sciences University of Chester Parkgate Road Chester CH1 4BJ UK

4. Department of Materials Science and Engineering National University of Singapore Singapore 117575 Singapore

5. Institute of Semiconductors Chinese Academy of Sciences P.O. Box 912, Beijing 100083 China

Abstract

AbstractFerroelectric photoelectric devices show promising applications in artificial vision systems. However, this type of devices used in artificial vision systems exhibits low photoresponsivity and this limited cyclability of photocurrents, which hinders the progress of artificial vision systems. In this study, an artificial vision system is constructed with high photoresponsivity, fast photoresponse speed, and high read/write speed based on the Pd/PbZr0.4Ti0.6O3/La0.3Sr0.7MnO3/LaAlO3 ferroelectric photomemristor. The high optical response (18.86 nanoamperes) and read/write speeds (50 nanoseconds) of the device significantly improve the robustness and speed of the neuromorphic visual system while reducing power consumption for recognition. The artificial vision system developed in this study provides excellent real‐time image processing capabilities, including edge detection and classification with 100% accuracy for musical key patterns, and it is expected to offer great potential for the development of high‐performance self‐powered artificial vision systems.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

Wiley

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