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  5. Dielectric strength weakening of hexagonal boron nitride nanosheets under mechanical stress

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Article
en
2025

Dielectric strength weakening of hexagonal boron nitride nanosheets under mechanical stress

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en
2025
Vol 16 (1)
Vol. 16
DOI: 10.1038/s41467-025-63358-6

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Kenji Watanabe
Kenji Watanabe

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Bingjie Wang
Chuanli Yu
Yifan Jiang
+11 more

Abstract

Hexagonal boron nitride (hBN) nanosheets have become the most promising candidates as gate dielectric and insulating substrates for two-dimensional (2D) material-based electronic and optoelectronic devices. While mechanical stress in hBN nanosheets is often either intrinsically or intentionally introduced for 2D material-based devices during device fabrication and operation, the dielectric strength of hBN nanosheets under mechanical stress is still elusive. In this work, the dielectric strength of hBN nanosheets in a metal/hBN/metal structure is systematically studied when mechanical stress normal to nanosheets is applied. The dielectric strength of hBN nanosheets is found to be weakened with lower breakdown strength, shorter breakdown time, and larger leakage current under the mechanical stress with the order of 100 MPa, and the weakening is more remarkable for thinner nanosheets. The thickness-dependent weakening of dielectric strength is attributed to the thickness-dependent stress gradient in hBN nanosheets. Furthermore, the ability of hBN nanosheets to block leakage current can be significantly degraded by mechanical stress even for thick nanosheets up to 41.3 nm. The results indicate that it is highly important to eliminate mechanical stress in high-performance 2D material-based devices employing hBN nanosheets as 2D insulators.

How to cite this publication

Bingjie Wang, Chuanli Yu, Yifan Jiang, Chong Tian, Jiamin Tian, Shuo Li, Zheng Fang, Menglan Li, Wenlong Wu, Zhaohe Dai, Takashi Taniguchi, Kenji Watanabe, Qing Chen, Xianlong Wei (2025). Dielectric strength weakening of hexagonal boron nitride nanosheets under mechanical stress. , 16(1), DOI: https://doi.org/10.1038/s41467-025-63358-6.

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Publication Details

Type

Article

Year

2025

Authors

14

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/s41467-025-63358-6

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