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Description:

We provide a novel sensor design approach that employs metasurfaces to enable multifunctional sensing without requiring an external power source. Importantly, unlike existing metasurface-based sensors, our metasurfaces can sense multiple physical parameters even at a fixed frequency by breaking classic harmonic oscillations in the time domain, making the proposed sensors viable for usage with limited frequency resources. Moreover, we provide a method for predicting physical parameters using the machine learning-based approach of random forest regression. The sensing performance was confirmed by estimating temperature and light intensity, and excellent determination coefficients larger than 0.96 were achieved. Our study affords new opportunities for sensing multiple physical properties without relying on an external power source or needing multiple frequencies, which markedly simplifies and facilitates the design of next-generation wireless communication systems.

Rights:

• Creative Commons BY Attribution 4.0 International
  

Keyword: Metasurface, Single-frequency sensor

Date published: 2024-10-25

Publisher: Springer Science and Business Media LLC

Journal:

• NPG Asia Materials (ISSN: 18844057) vol. 16 issue. 1 55

Funding:

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1038/s41427-024-00574-4

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Updated at: 2024-11-08 16:30:20 +0900

Published on MDR: 2024-11-08 16:30:20 +0900