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Conferences > CLEO_QELS > 2022 > FW1C > FW1C.6

Broadband achromatic metalens design based on artificial neural network

Feilou Wang, Guangzhou Geng, Xueqian Wang, Junjie Li, Yang Bai, Jianqiang Li, Yongzheng Wen, Bo Li, Jingbo Sun, and Ji Zhou

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Abstract

We used the backpropagation neural network to design a high performance achromatic metalens at visible range. Experimental demonstration showed that the fabricated achromatic metalens can operate from 420 to 640 nm without the polarization dependence.

© 2022 The Author(s)

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