摩擦电效应
光电探测器
纳米发生器
材料科学
光电子学
发光二极管
光电效应
硅
探测器
二极管
光电传感器
整流器(神经网络)
光强度
电压
电气工程
光学
计算机科学
物理
工程类
复合材料
循环神经网络
机器学习
随机神经网络
人工神经网络
作者
Jingxi Wang,Kequan Xia,Jiale Liu,Tiesong Li,Xinyang Zhao,Bin Shu,Huan Li,Jing Guo,Min Yu,Wei Tang,Zhiyuan Zhu
出处
期刊:Nano Energy
[Elsevier]
日期:2020-01-08
卷期号:69: 104461-104461
被引量:33
标识
DOI:10.1016/j.nanoen.2020.104461
摘要
When sensor networks for the Internet of Things (IoT) are applied on a large scale, it's urgent to investigate self-powered photoelectric detection system without external power supply. Therefore, we propose a self-powered photo-detection system based on the triboelectric nanogenerator (TENG) in which the silicon PIN photodetector is powered by a paper-based contact separated TENG. The silicon PIN photodetectors are based on mature silicon processing technology, which is suitable for large scale production. The TENG is connected to the detector through the rectifier bridge circuit. Owing to the internal photoelectric effect of the detector and the TENG impedance matching effect, the equivalent resistance of the detector decreases when light is applied to the surface of the photodetector and the output voltage of the TENG changes accordingly. We investigate the output characteristics of the photoelectric detection system under different illumination intensities and propose a circuit model to analyze the influence of the current on the detection range. Finally, we use light-emitting diodes (LEDs) as display devices to characterize the detected light intensity for applicable self-powered photo-detection system.
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