Non-contact intelligent sensor for recognizing transparent and naked-eye indistinguishable materials based on ferroelectric BiFeO_(3)thin films  

作　　者：Shengjie Yin Hongyu Li Weiqi Qian Md Al Mahadi Hasan Ya Yang 

机构地区：[1]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 [2]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 [3]School of Nanoscience and Technology,University of Chinese Academy of Sciences,Beijing 100049,People’s Republic of China

出　　处：《International Journal of Extreme Manufacturing》2024年第5期263-271,共9页极端制造（英文）

基　　金：supported by the National Natural Science Foundation of China(Grant No.52072041);the Beijing Natural Science Foundation(Grant No.JQ21007);the University of Chinese Academy of Sciences(Grant No.Y8540XX2D2).

摘　　要：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.

关 键 词：BiFeO_(3) ferroelectric materials self-powered photodetector material recognition 

分 类 号：TB302[一般工业技术—材料科学与工程] TP312[自动化与计算机技术—计算机软件与理论]