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Volume 6 Issue 3
Feb.  2024
Article Contents

Lin X D, Feng Z Y, Xiong Y, Sun W W, Yao W C, Wei Y C, Wang Z L, Sun Q J. 2024. Piezotronic neuromorphic devices: principle, manufacture, and applications. Int. J. Extrem. Manuf. 6 032011.
Citation: Lin X D, Feng Z Y, Xiong Y, Sun W W, Yao W C, Wei Y C, Wang Z L, Sun Q J. 2024. Piezotronic neuromorphic devices: principle, manufacture, and applications. Int. J. Extrem. Manuf. 032011.

Piezotronic neuromorphic devices: principle, manufacture, and applications


doi: 10.1088/2631-7990/ad339b
More Information
  • Publish Date: 2024-04-09
  • With the arrival of the era of artificial intelligence (AI) and big data, the explosive growth of data has raised higher demands on computer hardware and systems. Neuromorphic techniques inspired by biological nervous systems are expected to be one of the approaches to breaking the von Neumann bottleneck. Piezotronic neuromorphic devices modulate electrical transport characteristics by piezopotential and directly associate external mechanical motion with electrical output signals in an active manner, with the capability to sense/store/process information of external stimuli. In this review, we have presented the piezotronic neuromorphic devices (which are classified into strain-gated piezotronic transistors and piezoelectric nanogenerator-gated field effect transistors based on device structure) and discussed their operating mechanisms and related manufacture techniques. Secondly, we summarized the research progress of piezotronic neuromorphic devices in recent years and provided a detailed discussion on multifunctional applications, including bionic sensing, information storage, logic computing, and electrical/optical artificial synapses. Finally, in the context of future development, challenges, and perspectives, we have discussed how to modulate novel neuromorphic devices with piezotronic effects more effectively. It is believed that the piezotronic neuromorphic devices have great potential for the next generation of interactive sensation/memory/computation to facilitate the development of the Internet of Things, AI, biomedical engineering, etc.

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Piezotronic neuromorphic devices: principle, manufacture, and applications

doi: 10.1088/2631-7990/ad339b
  • 1 Department of Research, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai 201318, People's Republic of China;
  • 2 Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, People's Republic of China;
  • 3 Center on Nanoenergy Research, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, People's Republic of China;
  • 4 Shandong Zhongke Naneng Energy Technology Co., Ltd, Dongying 257061, People's Republic of China;
  • 5 Georgia Institute of Technology, Atlanta, GA 30332-0245, United States of America

Abstract: 

With the arrival of the era of artificial intelligence (AI) and big data, the explosive growth of data has raised higher demands on computer hardware and systems. Neuromorphic techniques inspired by biological nervous systems are expected to be one of the approaches to breaking the von Neumann bottleneck. Piezotronic neuromorphic devices modulate electrical transport characteristics by piezopotential and directly associate external mechanical motion with electrical output signals in an active manner, with the capability to sense/store/process information of external stimuli. In this review, we have presented the piezotronic neuromorphic devices (which are classified into strain-gated piezotronic transistors and piezoelectric nanogenerator-gated field effect transistors based on device structure) and discussed their operating mechanisms and related manufacture techniques. Secondly, we summarized the research progress of piezotronic neuromorphic devices in recent years and provided a detailed discussion on multifunctional applications, including bionic sensing, information storage, logic computing, and electrical/optical artificial synapses. Finally, in the context of future development, challenges, and perspectives, we have discussed how to modulate novel neuromorphic devices with piezotronic effects more effectively. It is believed that the piezotronic neuromorphic devices have great potential for the next generation of interactive sensation/memory/computation to facilitate the development of the Internet of Things, AI, biomedical engineering, etc.

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