共发射极
双极结晶体管
光电子学
异质发射极双极晶体管
晶体管
材料科学
偏压
二极管
电气工程
异质结双极晶体管
信号(编程语言)
电压
计算机科学
工程类
程序设计语言
作者
Emad Iranmanesh,Jucai Zhai,Congwei Liao,Zihao Liang,Yong Zhao,Hang Zhou,Shengdong Zhang,Charalampos Doumanidis,Anand Prakash Dwivedi,Kai Wang
出处
期刊:IEEE Electron Device Letters
[Institute of Electrical and Electronics Engineers]
日期:2023-03-01
卷期号:44 (3): 440-443
被引量:1
标识
DOI:10.1109/led.2023.3238065
摘要
This work reports on a piezotronic n-p-n bipolar heterojunction transistor (PBJT) intended for AI-sound recognition with low power consumption footprint. An organic polymer (Poly (3-hexylthiophene)) as Base is sandwiched between two inorganic piezoelectric semiconductor ZnO layers as Emitter and Collector, respectively to form a vertically-stacked heterogeneous n-p-n BJT, which differs from the traditional BJT in that it can provide either current or voltage as an output signal to favor application’s preference. It can be regarded as two back-to-back auto-biased piezotronic heterojunction diodes where Base-Collector diode is reversely biased and Base-Emitter one is in a forward bias (or vice versa) upon sound wave stimuli. In addition, polarized charges generated at Emitter and Collector sides redistribute and as a result, give a significant enhancement in the output voltage. With machine learning AI, low frequency (LF) sound detection, mapping, and recognition have been demonstrated by this device.
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