# Metasurface-enabled multifunctional single-frequency sensors without external power

https://mdr.nims.go.jp/datasets/c2aff32a-2142-4c4f-beea-40204456c15e

## File

- [Tashiro-npg24_metasurface.pdf](https://mdr.nims.go.jp/filesets/d9fb9c1c-4c33-4600-809d-3a6e53cfe858/download) ([Detail](https://mdr.nims.go.jp/filesets/d9fb9c1c-4c33-4600-809d-3a6e53cfe858.md))

## Id

c2aff32a-2142-4c4f-beea-40204456c15e

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-11-07T14:48:44.766273Z

## Updated at

2024-11-08T07:30:20.689831Z

## Published at

2024-11-08T07:30:20.976027Z

## Doi



## First published url

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

## Date published

2024-10-25

## Recorded date published



## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Metasurface-enabled multifunctional single-frequency sensors without external
    power
  title_type: original
  lang: en

## Description

- 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.
  description_type: abstract
  lang: und

## Creator

- name: Masaya Tashiro
  role: author
- name: Kosuke Ide
  role: author
- name: Kosei Asano
  role: author
- name: Satoshi Ishii
  role: author
  orcid: https://orcid.org/0000-0003-0731-8428
- name: Yuta Sugiura
  role: author
  orcid: https://orcid.org/0000-0003-3735-4809
- name: Akira Uchiyama
  role: author
  orcid: https://orcid.org/0000-0001-7563-6191
- name: Hiroki Wakatsuchi
  role: author
  orcid: https://orcid.org/0000-0002-5774-1614

## Contact agent



## Publisher

organization: Springer Science and Business Media LLC

## Managing organization



## Keyword

- subject: Metasurface
  schema: not_defined
- subject: Single-frequency sensor
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: NPG Asia Materials
  issn: '18844057'
  volume: '16'
  issue: '1'
  article_number: '55'

## Conference



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## Measurement method



## Specimen



## Chemical composition



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## Fileset

- id: d9fb9c1c-4c33-4600-809d-3a6e53cfe858
  filename: Tashiro-npg24_metasurface.pdf
  content_type: application/pdf
  size: 1739847
  md5: 2018dbd18f3fd924b29504b385636102

## Thumbnail

fileset_id: d9fb9c1c-4c33-4600-809d-3a6e53cfe858
filename: Tashiro-npg24_metasurface.pdf