Development and analysis of central-pierced Octa-Star resonator solar thermal absorber design based for industrial thermal application with machine learning

Renewable and pure solar energy is vital for long-term sustainability and safeguarding the environment since it reduces emissions of greenhouse gases. A wide variety of solar thermal absorber concepts were evaluated. This Central-Pierced Octa-Star MXene Resonator Solar Absorber (CPOSMRSA) geometry contains MXene as one of its components. The claimed CPOSMRSA made use of Si3N4 as its substrate, with Aluminum serving as the bottom layer. In particular, the absorber was active over a broad UV (Ultra Violet)-FIR (Far Infrared) range. This ultra-wideband absorber harnesses polarization-insensitive to achieve its 91% and 94% thermal absorption rates, each, throughout the 200-3000 nm wavelengths and a vast wavelength range of 2790 to 500 nm. To assess the absorber's architecture and other variables, will analyze the Transverse Electric (TE) and Magnetic (TM) characteristics. For better performance, the result was analyzed with Machine Learning (ML), which gets a maximum 0.988300 score of R 2, and CPOSMRSA gets a 4.662765 ˟ 10 -6 score of Mean Squared Error (MSE). Along with the studied and described absorber’s electric intensity, the earlier-mentioned thermal absorber has been utilized for examination. The outstanding absorption all over an ultra-broadband range of this CPOSMRSA resulted in its employment in renewable energy usage for industrial heating.