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    Area of Science:

    • Optics and Photonics
    • Materials Science
    • Nanotechnology

    Background:

    • Metasurfaces offer unique light-matter interactions.
    • Achieving broadband absorption in the mid-infrared is crucial for applications like thermal imaging and sensing.
    • Optimization of complex nanostructures remains a challenge.

    Purpose of the Study:

    • To design and demonstrate broadband binary-pattern metasurface absorbers in the mid-infrared (MIR) wavelength range.
    • To utilize a micro-genetic algorithm for optimizing nanostructure design.
    • To investigate the impact of nanostructure modifications on absorption performance.

    Main Methods:

    • Design of tungsten-based metasurface absorbers featuring binary-patterned nanostructures.
    • Application of a micro-genetic algorithm for optimizing the nanostructure geometry.
    • Experimental investigation of absorption performance and the effect of minor pixel modifications.

    Main Results:

    • Broadband near-perfect absorption was achieved in the MIR range.
    • Multiple plasmonic resonances within the unit cell contribute to the broadband absorption.
    • Minor modifications to the binary-pattern nanostructures were shown to influence absorption characteristics.

    Conclusions:

    • The developed metasurface absorbers demonstrate a promising approach for broadband absorption in the MIR.
    • The micro-genetic algorithm is an effective tool for designing and optimizing complex optical nanostructures.
    • This work advances the design principles for metamaterials and metasurfaces with tailored optical properties.