Abstract:Featuring shorter wavelengths and high photon energy, ultraviolet (UV) light enables many exciting applications including photolithography, sensing, high-resolution imaging, and optical communication. The conventional methods of UV light manipulation through bulky optical components limit their integration in fast-growing on-chip systems. The advent of metasurfaces promised unprecedented control of electromagnetic waves from microwaves to visible spectrums. However, the availability of suitable and lossless di… Show more
“…The EM waves can be manipulated by designing an appropriate metamaterial structure and varying the design parameters. To date, various devices in the microwave and optical regimes have been developed by exploiting the features of the metamaterials [29][30][31][32][33][34][35][36].…”
“…The EM waves can be manipulated by designing an appropriate metamaterial structure and varying the design parameters. To date, various devices in the microwave and optical regimes have been developed by exploiting the features of the metamaterials [29][30][31][32][33][34][35][36].…”
“…In advanced wavefront shaping, metasurfaces with extraordinary properties overcome conventional optics [1][2][3][4][5][6][7]. The manipulation of fundamental properties of electromagnetic (EM) waves with carefully engineered subwavelength nanostructures has attracted much attention [8][9][10][11][12][13][14].…”
Here in this paper, we proposed a metasurface, which consists of silicon nitride as dielectric material possessing a high transparent window in the ultraviolet regime. We designed a single-layer dual-band metasurface instead of stacking and interleaved technique to overcome noise and low resolution, which gives broadband response for UV wavelengths. The proposed spin multiplexed metasurface is capable of generating two independent holographic images for right circularly polarized (RCP) and left circularly polarized (LCP) light. We achieved maximum cross-polarization efficiency on the designed wavelength i.e. 350nm and negligible zero-order efficiency. The unit cell and the proposed metasurface are simulated using Finite Difference Time Domain-based FDTD Solution from Lumerical Inc. for the specific wavelength while it gives broadband response for the wavelength band almost covering 290nm to 390nm.
“…Metasurface based designs have shown the potential for shaping the optical wavefronts by featuring only compact footprint in contrast to the bulky geometric optics [1][2][3][4][5][6][7][8][9]. The designs become capable of providing the control by engineering the geometry and size of meta-atom [9][10][11].…”
Flat optics have become capable of achieving unprecedented functionalities through electromagnetic (EM) wave manipulation by employing the metasurfaces. The most crucial part in the design of metasurface is the selection the constitutive component i.e. the meta-atom's material and structure so that it exhibits the precise operation as per the desired application. The unit-cell design calls for an iterative loop of simulations in order to explore the EM responses for intended operation. In this work, we have studied the absorption response of refractory materials under visible light radiations for their utilization in energy harvesting applications. The absorption response estimation using machine-learning techniques for the materials having very high melting-points, mechanical stabilities and inertness to the atmosphere has been carried out to investigate their performance in the broadband range. The presented regression models incorporate hybrid data format i.e. they simultaneously contend with 3-D and 1-D properties of various shapes of nano-resonators. The images' feature extraction is carried out by employing Singular Value Decomposition. The trained models are potent enough to bypass the repetitive sequence of optimization involved in conventional EM solvers. Additionally, the models are capable of predicting the optimum shape along with structural dimensions of unit-cell. For forward model, the MSEs for training and testing are 1.302×10 -2 and 3.269×10 -2 while R 2 scores are 0.9804 and 0.8764, respectively. The approach applied is so robust that, irrespective of complexity of unit-cell structure is, it serves the purpose of predicting the distinct structure with highest performance while bypassing the time-and computationally-intensive EM simulations.
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