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<p>A perfect solar absorber fabrication depends on many cases, from the selection of materials to the height of the layers. In many contributions of the absorbers, some additional thin layers of graphene and MXene, etc. are displayed to be performed as a wide-band structure, making the ideal type structure. From the analysis properties of the zirconium (Zr), we decided to use it in making the resonator design and gallium arsenide (GaSb) in the creation of the substrate over the titanium carbide (TiC) foundation contribution. With a 2800-nm wide band, the fabricated radiation is 93.32%, above 97% and 95% in 800 and 1500&#xa0;nm, respectively. The optimization of the structural parameters is analyzed using a machine learning algorithm. The current absorber type can be used mostly for heating water (40–80&#xa0;°C) for home implementations, process industries, restaurants, hospitals, hotels, etc. The machine learning algorithm is used to optimize the solar absorber design.</p>

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Investigation of Graphene-Based Multilayer Zr-GaSb-TiC Wide-Band Surface Plasmon Resonance Solar Absorber for Renewable Energy Applications Optimized Using Machine Learning

  • 期刊论文

  • 发表日期：

    2025年1月27日

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  • Ammar Armghan,
  • Bo Bo Han,
  • Gobhinath S.,
  • Shobhit K. Patel,
  • Khaled Aliqab,
  • Meshari Alsharari

摘要

A perfect solar absorber fabrication depends on many cases, from the selection of materials to the height of the layers. In many contributions of the absorbers, some additional thin layers of graphene and MXene, etc. are displayed to be performed as a wide-band structure, making the ideal type structure. From the analysis properties of the zirconium (Zr), we decided to use it in making the resonator design and gallium arsenide (GaSb) in the creation of the substrate over the titanium carbide (TiC) foundation contribution. With a 2800-nm wide band, the fabricated radiation is 93.32%, above 97% and 95% in 800 and 1500 nm, respectively. The optimization of the structural parameters is analyzed using a machine learning algorithm. The current absorber type can be used mostly for heating water (40–80 °C) for home implementations, process industries, restaurants, hospitals, hotels, etc. The machine learning algorithm is used to optimize the solar absorber design.