A terahertz meta-sensor array for 2D strain mapping

Xueguang Lu, Feilong Zhang, Liguo Zhu, Shan Peng, Jiazhen Yan, Qiwu Shi, Kefan Chen, Xue Chang, Hongfu Zhu, Cheng Zhang (), Wanxia Huang () and Qiang Cheng ()
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Xueguang Lu: Sichuan University
Feilong Zhang: Chinese Academy of Sciences
Liguo Zhu: China Academy of Engineering Physics
Shan Peng: Sichuan University
Jiazhen Yan: Sichuan University
Qiwu Shi: Sichuan University
Kefan Chen: Sichuan University
Xue Chang: Sichuan University
Hongfu Zhu: Sichuan University
Cheng Zhang: Chinese Academy of Sciences
Wanxia Huang: Sichuan University
Qiang Cheng: Southeast University

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Large-scale stretchable strain sensor arrays capable of mapping two-dimensional strain distributions have gained interest for applications as wearable devices and relating to the Internet of Things. However, existing strain sensor arrays are usually unable to achieve accurate directional recognition and experience a trade-off between high sensing resolution and large area detection. Here, based on classical Mie resonance, we report a flexible meta-sensor array that can detect the in-plane direction and magnitude of preloaded strains by referencing a dynamically transmitted terahertz (THz) signal. By building a one-to-one correspondence between the intrinsic electrical/magnetic dipole resonance frequency and the horizontal/perpendicular tension level, arbitrary strain information across the meta-sensor array is accurately detected and quantified using a THz scanning setup. Particularly, with a simple preparation process of micro template-assisted assembly, this meta-sensor array offers ultrahigh sensor density (~11.1 cm−2) and has been seamlessly extended to a record-breaking size (110 × 130 mm2), demonstrating its promise in real-life applications.

Date: 2024
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DOI: 10.1038/s41467-024-47474-3

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