• Acta Optica Sinica
  • Vol. 42, Issue 7, 0722001 (2022)
Pengfei Ba1、2, Qingzhi Li2, Jingjun Wu2, Jun Chen2, Feng Tang2、**, Shanjun Chen1、*, Xin Ye2, and Wanguo Zheng2
Author Affiliations
  • 1School of Physics and Optoelectronic Engineering, Yangtze University, Jingzhou, Hubei 434023, China
  • 2Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
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    DOI: 10.3788/AOS202242.0722001 Cite this Article Set citation alerts
    Pengfei Ba, Qingzhi Li, Jingjun Wu, Jun Chen, Feng Tang, Shanjun Chen, Xin Ye, Wanguo Zheng. Automatic Design Technology and Software of Dielectric Metalens[J]. Acta Optica Sinica, 2022, 42(7): 0722001 Copy Citation Text show less

    Abstract

    Because of its incomparable advantages in light field phase control, multifunctional composite, micro-nano integration, and other aspects, metalens has great application potential in many fields. However, the design of metalens requires professional knowledge and rich experience, which makes it difficult for non-professionals to master it quickly, thus hinders the large-scale preparation of hyperlens. By means of MATLAB and finite difference time domain (FDTD) hybrid programming, the design process of dielectric metalens independent of preset physical model is studied, and the automatic design of dielectric metalens is realized. By inputting the required metalens parameters on the software interface written by MATLAB and calling FDTD design simulation program in the background to build the nanostructure, the relationship among the size of the structure, phase, and transmittance can be calculated. According to the required phase distribution, the superlens is constructed and its performance is evaluated by numerical simulation. The design process and software can greatly facilitate the design of metalens by non-specialists.
    Pengfei Ba, Qingzhi Li, Jingjun Wu, Jun Chen, Feng Tang, Shanjun Chen, Xin Ye, Wanguo Zheng. Automatic Design Technology and Software of Dielectric Metalens[J]. Acta Optica Sinica, 2022, 42(7): 0722001
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