Scholarlink

<p>Due to the good absorption efficiency of the newly developed absorber and its potential to address air pollution as a global issue, the recent design featuring a multi-triangle shape has been investigated. The performance results show a strong overall efficiency, with 92.32% at 2800&#xa0;nm and 98.03% at 500&#xa0;nm. The study explores the specifications of different air regions, and the presentation covers various sections from the constructed design to the final results. Different materials are applied in each part of the structure, with their respective optical properties: aluminum (Al), gallium arsenide (GaAs), and tin (IV) selenide (SnSe<sub>2</sub>), progressing from the resonance layer to the base. The machine learning output can also be validated with the respective <i>R</i><sup>2</sup> values for each layer height determination. The polarization-insensitive nature of the design is also demonstrated, with degree analysis ranging from 0° to 80°. This multi-triangle absorber has been developed for a variety of home applications, including water heating, solar cooking, solar-powered pumps, solar flashlights, and battery charging.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Intelligent Design of Plasmonic Multilayered Materials Using Graphene and Al–GaAs–SnSe2 for Efficient Solar-Thermal Energy Via ML Algorithms

  • 期刊论文

  • 发表日期：

    2025年8月28日

查看全文
  • Bo Bo han,
  • Shobhit K. Patel,
  • Ammar Armghan,
  • Sultan S. Aldkeelalah,
  • Naim Ben Ali,
  • Habib Kraiem

摘要

Due to the good absorption efficiency of the newly developed absorber and its potential to address air pollution as a global issue, the recent design featuring a multi-triangle shape has been investigated. The performance results show a strong overall efficiency, with 92.32% at 2800 nm and 98.03% at 500 nm. The study explores the specifications of different air regions, and the presentation covers various sections from the constructed design to the final results. Different materials are applied in each part of the structure, with their respective optical properties: aluminum (Al), gallium arsenide (GaAs), and tin (IV) selenide (SnSe2), progressing from the resonance layer to the base. The machine learning output can also be validated with the respective R2 values for each layer height determination. The polarization-insensitive nature of the design is also demonstrated, with degree analysis ranging from 0° to 80°. This multi-triangle absorber has been developed for a variety of home applications, including water heating, solar cooking, solar-powered pumps, solar flashlights, and battery charging.