The aim is to develop an efficient solar absorber and thermal emitter using deep learning techniques.
Utilized deep learning algorithms to optimize the design of a solar absorber.
Developed a metamaterial structure for enhanced performance.
Performed simulations to assess energy absorption efficiency and thermal emission characteristics.
Achieved significant improvements in solar energy absorption rates.
Demonstrated high-temperature thermal emission capabilities of the developed structure.
Indicated potential applications in energy harvesting and thermal management.
Abstract
Nowadays, the efficient use of the huge energy of the solar spectrum is expected to solve the current energy crisis to a certain extent. The solar absorber with metamaterial structure...