Yang Fan, An Sensong, Shalaginov Mikhail Y, Zhang Hualiang, Rivero-Baleine Clara, Hu Juejun, Gu Tian
Opt Lett. 2021 Nov 15;46(22):5735-5738. doi: 10.1364/OL.439393.
In this Letter, we adapt the direct search method to metasurface optimization. We show that the direct search algorithm, when coupled with deep learning techniques for free-form meta-atom generation, offers a computationally efficient optimization approach for metasurface optics. As an example, we apply the approach to optimization of achromatic metalenses. Taking advantage of the diverse dispersion responses of free-form meta-atoms, metalenses designed using this approach exhibit superior broadband performances compared to their multilevel diffractive counterparts. We further demonstrate an achromatic and wide-field-of-view metalens design.
在本信函中，我们将直接搜索方法应用于超表面优化。我们表明，直接搜索算法与用于生成自由形式超原子的深度学习技术相结合，为超表面光学提供了一种计算高效的优化方法。作为一个例子，我们将该方法应用于消色差金属透镜的优化。利用自由形式超原子的多样色散响应，使用此方法设计的金属透镜与其多级衍射对应物相比，展现出卓越的宽带性能。我们还展示了一种消色差且宽视场的金属透镜设计。
