A universal metasurface antenna to manipulate all fundamental characteristics of electromagnetic waves
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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Original language | English |
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Article number | 5155 |
Journal / Publication | Nature Communications |
Volume | 14 |
Online published | 24 Aug 2023 |
Publication status | Published - 2023 |
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DOI | DOI |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85168677091&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(991c0e78-6332-49cc-8807-2ae4e3eca9cb).html |
Abstract
Metasurfaces have promising potential to revolutionize a variety of photonic and electronic device technologies. However, metasurfaces that can simultaneously and independently control all electromagnetics (EM) waves’ properties, including amplitude, phase, frequency, polarization, and momentum, with high integrability and programmability, are challenging and have not been successfully attempted. Here, we propose and demonstrate a microwave universal metasurface antenna (UMA) capable of dynamically, simultaneously, independently, and precisely manipulating all the constitutive properties of EM waves in a software-defined manner. Our UMA further facilitates the spatial- and time-varying wave properties, leading to more complicated waveform generation, beamforming, and direct information manipulations. In particular, the UMA can directly generate the modulated waveforms carrying digital information that can fundamentally simplify the architecture of information transmitter systems. The proposed UMA with unparalleled EM wave and information manipulation capabilities will spark a surge of applications from next-generation wireless systems, cognitive sensing, and imaging to quantum optics and quantum information science. © 2023, Springer Nature Limited.
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Citation Format(s)
A universal metasurface antenna to manipulate all fundamental characteristics of electromagnetic waves. / Wu, Geng-Bo; Dai, Jun Yan; Shum, Kam Man et al.
In: Nature Communications, Vol. 14, 5155, 2023.
In: Nature Communications, Vol. 14, 5155, 2023.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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