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In order to obtain a metasurface structure capable of filtering the light ofa specific wavelength in the visible band, traditional method usually traversesthe space consisting of possible designs, searching for a potentiallysatisfying device by performing iterative calculations to solve Maxwell'sequations. In this paper, we propose a neural network that can complete aninverse design process to solve the problem. Compared with the traditionalmethod, our method is much faster while competent of generating better deviceswith the desired spectrum. One of the most significant advantages is that itcan handle a real spectrum as well as an artificial one. Besides, our methodencompasses a high degree of freedom to generate devices, ensuring theirgenerated spectra resemble desired ones and meeting the accuracy requirementswithout losing practicability in the manufacturing process.

High-Freedom Inverse Design with Deep Neural Network for Metasurface Filter in the Visible