Metasurface-enabled multifunctional single-frequency sensors without external power
Abstract IoT sensors are crucial for visualizing multidimensional and multimodal information and enabling future IT applications/services such as cyber-physical spaces, digital twins, autonomous driving, smart cities and virtual/augmented reality (VR or AR). However, IoT sensors need to be battery-f...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-10-01
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| Series: | NPG Asia Materials |
| Online Access: | https://doi.org/10.1038/s41427-024-00574-4 |
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| _version_ | 1832594659799465984 |
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| author | Masaya Tashiro Kosuke Ide Kosei Asano Satoshi Ishii Yuta Sugiura Akira Uchiyama Hiroki Wakatsuchi |
| author_facet | Masaya Tashiro Kosuke Ide Kosei Asano Satoshi Ishii Yuta Sugiura Akira Uchiyama Hiroki Wakatsuchi |
| author_sort | Masaya Tashiro |
| collection | DOAJ |
| description | Abstract IoT sensors are crucial for visualizing multidimensional and multimodal information and enabling future IT applications/services such as cyber-physical spaces, digital twins, autonomous driving, smart cities and virtual/augmented reality (VR or AR). However, IoT sensors need to be battery-free to realistically manage and maintain the growing number of available sensing devices. Here, 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 via the machine learning-based approach of random forest regression. The sensing performance was confirmed by estimating the 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 requiring multiple frequencies, which markedly simplifies and facilitates the design of next-generation wireless communication systems. |
| format | Article |
| id | doaj-art-eaf84f484e964ced86145290be410966 |
| institution | Kabale University |
| issn | 1884-4057 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | NPG Asia Materials |
| spelling | doaj-art-eaf84f484e964ced86145290be4109662025-01-19T12:28:58ZengNature PortfolioNPG Asia Materials1884-40572024-10-0116111010.1038/s41427-024-00574-4Metasurface-enabled multifunctional single-frequency sensors without external powerMasaya Tashiro0Kosuke Ide1Kosei Asano2Satoshi Ishii3Yuta Sugiura4Akira Uchiyama5Hiroki Wakatsuchi6Department of Engineering, Nagoya Institute of TechnologyDepartment of Engineering, Nagoya Institute of TechnologyDepartment of Engineering, Nagoya Institute of TechnologyPrecursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency (JST), KawaguchiPrecursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency (JST), KawaguchiPrecursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency (JST), KawaguchiDepartment of Engineering, Nagoya Institute of TechnologyAbstract IoT sensors are crucial for visualizing multidimensional and multimodal information and enabling future IT applications/services such as cyber-physical spaces, digital twins, autonomous driving, smart cities and virtual/augmented reality (VR or AR). However, IoT sensors need to be battery-free to realistically manage and maintain the growing number of available sensing devices. Here, 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 via the machine learning-based approach of random forest regression. The sensing performance was confirmed by estimating the 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 requiring multiple frequencies, which markedly simplifies and facilitates the design of next-generation wireless communication systems.https://doi.org/10.1038/s41427-024-00574-4 |
| spellingShingle | Masaya Tashiro Kosuke Ide Kosei Asano Satoshi Ishii Yuta Sugiura Akira Uchiyama Hiroki Wakatsuchi Metasurface-enabled multifunctional single-frequency sensors without external power NPG Asia Materials |
| title | Metasurface-enabled multifunctional single-frequency sensors without external power |
| title_full | Metasurface-enabled multifunctional single-frequency sensors without external power |
| title_fullStr | Metasurface-enabled multifunctional single-frequency sensors without external power |
| title_full_unstemmed | Metasurface-enabled multifunctional single-frequency sensors without external power |
| title_short | Metasurface-enabled multifunctional single-frequency sensors without external power |
| title_sort | metasurface enabled multifunctional single frequency sensors without external power |
| url | https://doi.org/10.1038/s41427-024-00574-4 |
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