Non-contact intelligent sensor for recognizing transparent and naked-eye indistinguishable materials based on ferroelectric BiFeO3 thin films

Shengjie Yin; Hongyu Li; Weiqi Qian; Md Al Mahadi Hasan; Ya Yang

doi:10.1088/2631-7990/ad57a0

International Journal of Extreme Manufacturing (Jan 2024)

Non-contact intelligent sensor for recognizing transparent and naked-eye indistinguishable materials based on ferroelectric BiFeO3 thin films

Shengjie Yin,
Hongyu Li,
Weiqi Qian,
Md Al Mahadi Hasan,
Ya Yang

Affiliations

Shengjie Yin: Center on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality; Key Laboratory of Blue Energy and Systems Integration (Guangxi University), Education Department of Guangxi Zhuang Autonomous Region; School of Physical Science & Technology, Guangxi University , Nanning 530004, People’s Republic of China; Beijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences , Beijing 101400, People’s Republic of China
Hongyu Li: Beijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences , Beijing 101400, People’s Republic of China; School of Nanoscience and Technology, University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of China
Weiqi Qian: Beijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences , Beijing 101400, People’s Republic of China; School of Nanoscience and Technology, University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of China
Md Al Mahadi Hasan: Beijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences , Beijing 101400, People’s Republic of China; School of Nanoscience and Technology, University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of China
Ya Yang: ORCiD; Center on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality; Key Laboratory of Blue Energy and Systems Integration (Guangxi University), Education Department of Guangxi Zhuang Autonomous Region; School of Physical Science & Technology, Guangxi University , Nanning 530004, People’s Republic of China; Beijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences , Beijing 101400, People’s Republic of China; School of Nanoscience and Technology, University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of China

DOI: https://doi.org/10.1088/2631-7990/ad57a0
Journal volume & issue: Vol. 6, no. 5
p. 055502

Abstract

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At present, the research on ferroelectric photovoltaic materials mainly focuses on photoelectric detection. In the context of the rapid development of the Internet of Things (IoT), it is particularly important to use smaller thin-film devices as sensors. In this work, an indium tin oxide/bismuth ferrite (BFO)/lanthanum nickelate device has been fabricated on an F-doped tin oxide glass substrate using the sol–gel method. The sensor can continuously output photoelectric signals with little environmental impact. Compared to other types of sensors, this photoelectric sensor has an ultra-low response time of 1.25 ms and ultra-high sensitivity. Furthermore, a material recognition system based on a BFO sensor is developed. It can effectively identify eight kinds of materials that are difficult for human eyes to distinguish. This provides new ideas and methods for developing the IoT in material identification.

Published in International Journal of Extreme Manufacturing

ISSN: 2631-8644 (Print); 2631-7990 (Online)
Publisher: IOP Publishing
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials; Technology: Technology (General): Industrial engineering. Management engineering; Science: Physics
Website: https://iopscience.iop.org/journal/2631-7990

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