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  5. Statistical Piezotronic Effect in Nanocrystal Bulk by Anisotropic Geometry Control

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Article
en
2021

Statistical Piezotronic Effect in Nanocrystal Bulk by Anisotropic Geometry Control

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en
2021
Vol 31 (17)
Vol. 31
DOI: 10.1002/adfm.202010339

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Shuhai Liu
Ming Guang Han
Xiaolong Feng
+5 more

Abstract

Abstract Utilizing inner‐crystal piezoelectric polarization charges to control carrier transport across a metal‐semiconductor or semiconductor–semiconductor interface, piezotronic effect has great potential applications in smart micro/nano‐electromechanical system (MEMS/NEMS), human‐machine interfacing, and nanorobotics. However, current research on piezotronics has mainly focused on systems with only one or rather limited interfaces. Here, the statistical piezotronic effect is reported in ZnO bulk composited of nanoplatelets, of which the strain/stress‐induced piezo‐potential at the crystals’ interfaces can effectively gate the electrical transport of ZnO bulk. It is a statistical phenomenon of piezotronic modification of large numbers of interfaces, and the crystal orientation of inner ZnO nanoplatelets strongly influence the transport property of ZnO bulk. With optimum preferred orientation of ZnO nanoplatelets, the bulk exhibits an increased conductivity with decreasing stress at a high pressure range of 200–400 MPa, which has not been observed previously in bulk. A maximum sensitivity of 1.149 µS m −1 MPa −1 and a corresponding gauge factor of 467–589 have been achieved. As a statistical phenomenon of many piezotronic interfaces modulation, the proposed statistical piezotronic effect extends the connotation of piezotronics and promotes its practical applications in intelligent sensing.

How to cite this publication

Shuhai Liu, Ming Guang Han, Xiaolong Feng, Qiuhong Yu, Long Gu, Longfei Wang, Yong Qin, Zhong Lin Wang (2021). Statistical Piezotronic Effect in Nanocrystal Bulk by Anisotropic Geometry Control. , 31(17), DOI: https://doi.org/10.1002/adfm.202010339.

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Publication Details

Type

Article

Year

2021

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adfm.202010339

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