A terahertz meta-sensor array for 2D strain mapping
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...
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Veröffentlicht in: | Nature communications 2024-04, Vol.15 (1), p.3157-3157, Article 3157 |
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Sprache: | eng |
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Zusammenfassung: | 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 mm
2
), demonstrating its promise in real-life applications.
The researchers showcase a flexible meta-sensor array based on classical Mie resonance, enabling precise detection of in-plane strain direction and magnitude using dynamically transmitted terahertz (THz) signals. The sensor array holds immense promise for the real-life applications as it possesses high sensor density and has a very large size up to (110 ×130 mm
2
). |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-024-47474-3 |