Self-design of arbitrary polarization-control waveplates via deep neural networks

The manipulation of polarization states beyond the optical limit presents advantages in various applications. Considerable progress has been made in the design of meta-waveplates for on-demand polarization transformation, realized by numerical simulations and parameter sweep methodologies. However,...

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Veröffentlicht in:Photonics research (Washington, DC) DC), 2023-05, Vol.11 (5), p.695
Hauptverfasser: Liu, Zhengchang, Dang, Zhibo, Liu, Zhixin, Li, Yu, He, Xiao, Dai, Yuchen, Chen, Yuxiang, Peng, Pu, Fang, Zheyu
Format: Artikel
Sprache:eng
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