Unlocking New Possibilities: Advances in Metasurface Technology Through Intelligent Optimization Methods
Recently, researchers have made major advances in metasurface optimization methods. These methods involve creating a flat optical surface that can be used for a variety of applications, such as manipulating light and creating imaging and sensing systems. The team of researchers from the University of Technology Sydney (UTS) and the University of Sydney (USyd) has developed a new method for metasurface optimization. This method uses a combination of machine learning, evolutionary algorithms, and deep learning to achieve more efficient and precise optimization of metasurfaces. This new method enables the optimization process to be completed in a fraction of the time of traditional optimization methods. The team is confident that these advances will lead to the development of new metasurface technologies with improved performance, smaller footprint, and reduced cost.
source: Phys.org