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Zhou G, Huang J, Li H, Li Y, Jia G, Song N, Xiao J. Multispectral camouflage and radiative cooling using dynamically tunable metasurface. OPTICS EXPRESS 2024; 32:12926-12940. [PMID: 38571100 DOI: 10.1364/oe.517889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 02/26/2024] [Indexed: 04/05/2024]
Abstract
With the increasing demand for privacy, multispectral camouflage devices that utilize metasurface designs in combination with mature detection technologies have become effective. However, these early designs face challenges in realizing multispectral camouflage with a single metasurface and restricted modes. Therefore, this paper proposes a dynamically tunable metasurface. The metasurface consists of gold (Au), antimony selenide (Sb2Se3), and aluminum (Al), which enables radiative cooling, light detection and ranging (LiDAR) and infrared camouflage. In the amorphous phase of Sb2Se3, the thermal radiation reduction rate in the mid wave infrared range (MWIR) is up to 98.2%. The echo signal reduction rate for the 1064 nm LiDAR can reach 96.3%. In the crystalline phase of Sb2Se3, the highest cooling power is 65.5 Wm-2. Hence the metasurface can reduce the surface temperature and achieve efficient infrared camouflage. This metasurface design provides a new strategy for making devices compatible with multispectral camouflage and radiative cooling.
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Clini de Souza A, Lanteri S, Hernández-Figueroa HE, Abbarchi M, Grosso D, Kerzabi B, Elsawy M. Back-propagation optimization and multi-valued artificial neural networks for highly vivid structural color filter metasurfaces. Sci Rep 2023; 13:21352. [PMID: 38049444 PMCID: PMC10695957 DOI: 10.1038/s41598-023-48064-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 11/22/2023] [Indexed: 12/06/2023] Open
Abstract
We introduce a novel technique for designing color filter metasurfaces using a data-driven approach based on deep learning. Our innovative approach employs inverse design principles to identify highly efficient designs that outperform all the configurations in the dataset, which consists of 585 distinct geometries solely. By combining Multi-Valued Artificial Neural Networks and back-propagation optimization, we overcome the limitations of previous approaches, such as poor performance due to extrapolation and undesired local minima. Consequently, we successfully create reliable and highly efficient configurations for metasurface color filters capable of producing exceptionally vivid colors that go beyond the sRGB gamut. Furthermore, our deep learning technique can be extended to design various pixellated metasurface configurations with different functionalities.
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Affiliation(s)
- Arthur Clini de Souza
- Université Côte d'Azur, Inria, CNRS, LJAD, 06902, Sophia Antipolis Cedex, France
- Laboratory of Applied and Computational Electromagnetism (LEMAC), School of Electrical and Computer Engineering (FEEC), University of Campinas (UNICAMP) Campinas, São Paulo, Brazil
- Solnil, 95 Rue de la République, 13002, Marseille, France
| | - Stéphane Lanteri
- Université Côte d'Azur, Inria, CNRS, LJAD, 06902, Sophia Antipolis Cedex, France
| | - Hugo Enrique Hernández-Figueroa
- Laboratory of Applied and Computational Electromagnetism (LEMAC), School of Electrical and Computer Engineering (FEEC), University of Campinas (UNICAMP) Campinas, São Paulo, Brazil
| | - Marco Abbarchi
- Solnil, 95 Rue de la République, 13002, Marseille, France
- Université Aix Marseille, CNRS, Université de Toulon, IM2NP, UMR 7334, F-13397, Marseille, France
| | - David Grosso
- Solnil, 95 Rue de la République, 13002, Marseille, France
- Université Aix Marseille, CNRS, Université de Toulon, IM2NP, UMR 7334, F-13397, Marseille, France
| | - Badre Kerzabi
- Solnil, 95 Rue de la République, 13002, Marseille, France
| | - Mahmoud Elsawy
- Université Côte d'Azur, Inria, CNRS, LJAD, 06902, Sophia Antipolis Cedex, France.
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Li K, Lin YS. Tunable MEMS-based metamaterial nanograting coupler for C-band optical communication application. DISCOVER NANO 2023; 18:71. [PMID: 37382772 PMCID: PMC10409950 DOI: 10.1186/s11671-023-03843-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 03/29/2023] [Indexed: 06/30/2023]
Abstract
A tunable metamaterial nanograting coupler (MNC) is presented that is composed of a one-dimensional surface nanograting coupler with a bottom reflector and the metamaterial atop. For a single nanograting coupler, by introducing a reflector and optimizing nanograting parameters, the spatial coupling efficiency exceeds 97% around near-infrared wavelength of 1.43 μm. The metamaterial can be tuned by using micro-electro-mechanical system (MEMS) technique. The relative height or lateral offset between metamaterial and coupling nanograting can be controlled, that the light-emitting efficiency can be separated into two different directions. In addition, the coupling efficiency is as high as 91% at the optical C-band communication window. Therefore, the proposed MEMS-based MNC not only has the possibility of coupling optical fibers with high-density integrated optoelectronic chips, but also has potential application prospects in light path switching, variable optical attenuation, and optical switch.
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Affiliation(s)
- Kunye Li
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Yu-Sheng Lin
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China.
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Lai WH, Li B, Fu SH, Lin YS. Tunable MEMS-Based Terahertz Metamaterial for Pressure Sensing Application. MICROMACHINES 2023; 14:169. [PMID: 36677230 PMCID: PMC9861420 DOI: 10.3390/mi14010169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/02/2023] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
In this study, a tunable terahertz (THz) metamaterial using the micro-electro-mechanical system (MEMS) technique is proposed to demonstrate pressure sensing application. This MEMS-based tunable metamaterial (MTM) structure is composed of gold (Au) split-ring resonators (SRRs) on patterned silicon (Si) substrate with through Si via (TSV). SRR is designed as a cantilever on the TSV structure. When the airflow passes through the TSV from bottom to up and then bends the SRR cantilever, the SRR cantilever will bend upward. The electromagnetic responses of MTM show the tunability and polarization-dependent characteristics by bending the SRR cantilever. The resonances can both be blue-shifted from 0.721 THz to 0.796 THz with a tuning range of 0.075 THz in transverse magnetic (TM) mode and from 0.805 THz to 0.945 THz with a tuning range of 0.140 THz in transverse electric (TE) mode by changing the angle of SRR cantilever from 10° to 45°. These results provide the potential applications and possibilities of MTM design for use in pressure and flow rate sensors.
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