Put simply, metamaterials are basically artificial materials engineered to have properties not found in naturally occurring materials, best known as materials for the ‘invisibility cloak’. AI is capable of precisely designing artificial atoms that are smaller than the wavelength of light and by controlling the polarization and spin of light, new optical properties are created not found in nature. Current methods require various trial and failures until the right material is obtained, but AI is expected to provide a hyper efficient solution for this problem.
Researchers, led by Prof. Junsuk Rho, Sunae So and Jungho Mun of Department of Mechanical Engineering and Department of Chemical Engineering at POSTECH, developed a design with a higher degree of freedom using Deep Learning. Since AI can be trained with a vast amount of data and learn designs of various metamaterials and the correlation between photonic structures and their optical properties, it’s capable of providing a design method that makes a photonic structure with desired optical properties promptly and efficiently.
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