High-Efficiency Wideband Graphene-Based Ag-In2Se3-Al2O3 Surface Plasmon Resonance Solar Absorber for Thermal Energy Applications Optimized using Machine Learning

Solar absorbers which provide higher energy output and cause less environmental damage are used in various applications. Thermal applications, such as heat conversions, are commonly used of solar absorbers. Adding graphene layers by Finite Element Method can further improve the efficiency of solar structure and the current absorber layers are made of silver (Ag), indium (III) selenide (In₂Se₃), and aluminum oxide (Al₂O₃) in the resonator, substrate, and base sections, respectively. The graphene solar absorber exhibits wideband performance, with efficiency exceeding 90% at 2800 nm and 95% at 1350 nm. Machine learning optimization is used to improve the structural parameter and improve efficiency. The current solar absorber invention can be applied to various thermal energy purposes, including industrial processes, electricity production, boiler feed, water heating, and power storage. These applications contribute to improving energy efficiency in multiple sectors.