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Inverse design of metasurface optical filters using deep neural network with highdegrees of freedom 被引量:2
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作者 Xiao Han ziyang fan +2 位作者 Zeyang Liu Chao Li L.Jay Guo 《InfoMat》 SCIE CAS 2021年第4期432-442,共11页
In order to obtain a metasurface structure capable of filtering light of a specific wavelength range in the visible band,the traditional methods usually traverse the space consisting of possible designs,searching for ... In order to obtain a metasurface structure capable of filtering light of a specific wavelength range in the visible band,the traditional methods usually traverse the space consisting of possible designs,searching for a potenti ally satisfactory structure by performing iterative calculations to solve Maxwell's equations.In this article,we propose a systematic method based on neural networks that can complete an inverse design process to solve the problem.Compared with the traditional methods,our method is much faster while competent to encom-pass a high degree of freedom to generate device structures,which can ensure that the spectra of generated structures resemble the desired ones. 展开更多
关键词 high degrees of freedom metasurface filter neural network visible band
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