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<p>This investigation presents a three-layer metamaterial solar absorber incorporating a plus-shaped resonator architecture. The absorber demonstrates exceptional broadband absorption characteristics encompassing the ultraviolet (UV), visible, and near-infrared (NIR) spectral domains, achieving an average absorption coefficient of 97% across the 0.2–3&#xa0;μm wavelength regime. Peak absorption efficiencies attain 99.131% in the UV region, 99.819% in the visible spectrum, and 99.971% in the NIR domain. The device maintains superior absorption performance for incident angles extending to 60° under both transverse electric (TE) and transverse magnetic (TM) polarization configurations. Parametric analysis of geometric variables validates consistent, better performance across diverse structural configurations. The investigation also implements stacking ensemble machine learning methodologies to optimize and predict absorption characteristics, achieving predictive accuracies ranging from 86 to 98% for various parameters. The synergistic combination of exceptional performance metrics with a streamlined, manufacturable architecture positions this absorber as a highly promising candidate for solar energy harvesting applications. Furthermore fabrication protocols utilizing standard nanofabrication techniques are delineated to facilitate practical implementation of the proposed design.</p>

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Ultra-Efficient Broadband Tungsten Plasmonic Solar Absorber Optimized by Stacking Ensemble Machine Learning for Thermal Energy Harvesting

  • 期刊论文

  • 发表日期：

    2025年6月4日

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  • B Rampriya,
  • P. Mahalakshmi,
  • Jacob Wekalao,
  • M. Ramkumar Raja

摘要

This investigation presents a three-layer metamaterial solar absorber incorporating a plus-shaped resonator architecture. The absorber demonstrates exceptional broadband absorption characteristics encompassing the ultraviolet (UV), visible, and near-infrared (NIR) spectral domains, achieving an average absorption coefficient of 97% across the 0.2–3 μm wavelength regime. Peak absorption efficiencies attain 99.131% in the UV region, 99.819% in the visible spectrum, and 99.971% in the NIR domain. The device maintains superior absorption performance for incident angles extending to 60° under both transverse electric (TE) and transverse magnetic (TM) polarization configurations. Parametric analysis of geometric variables validates consistent, better performance across diverse structural configurations. The investigation also implements stacking ensemble machine learning methodologies to optimize and predict absorption characteristics, achieving predictive accuracies ranging from 86 to 98% for various parameters. The synergistic combination of exceptional performance metrics with a streamlined, manufacturable architecture positions this absorber as a highly promising candidate for solar energy harvesting applications. Furthermore fabrication protocols utilizing standard nanofabrication techniques are delineated to facilitate practical implementation of the proposed design.