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Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
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Realizing multi-function absorptions through arbitrary octagonal meta-atoms.

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    This study introduces an irregular metasurface absorber (MA) with octagonal meta-atoms, enabling diverse absorption functionalities. A deep neural network and particle swarm optimization achieved accurate spectrum prediction and inverse design for these advanced electromagnetic structures.

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    Area of Science:

    • Electromagnetic Metamaterials
    • Nanophotonics
    • Applied Physics

    Background:

    • Metasurface absorbers (MA) traditionally rely on regular structures, limiting their functional diversity.
    • Achieving tunable and multifunctional absorption properties in metasurfaces remains a significant challenge.

    Purpose of the Study:

    • To design and demonstrate an irregular metasurface absorber (MA) with enhanced and tunable absorption functionalities.
    • To develop a computational framework for predicting geometric parameters and inverse design of MAs based on target absorption spectra.

    Main Methods:

    • Proposed an irregular metasurface absorber (MA) utilizing octagonal meta-atoms with multiple geometric degrees of freedom.
    • Employed a deep neural network integrated with the particle swarm optimization algorithm for spectral prediction and inverse design.

    Main Results:

    • The irregular MA structure demonstrated versatile functionalities: perfect absorption, multi-peak absorption, and absorption with a filtering window.
    • Achieved a low mean-square error of 0.0008 for spectrum prediction and 0.0031 for inverse design, validating the computational approach.

    Conclusions:

    • The proposed irregular MA design offers a pathway to multifunctional electromagnetic structures.
    • This approach holds significant potential for advanced applications in tunable metasurfaces and metamaterials.