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Realizing transmitted metasurface cloak by a tandem neural network
Photonics Research ( IF 6.6 ) Pub Date : 2021-04-30
Zheng Zhen, Chao Qian, Yuetian Jia, Zhixiang Fan, Ran Hao, Tong Cai, Bin Zheng, Hongsheng Chen, and Erping Li

Being invisible at will has been a long-standing dream for centuries, epitomized by numerous legends; humans have never stopped their exploration steps to realize this dream. Recent years have witnessed a breakthrough in this search due to the advent of transformation optics, metamaterials, and metasurfaces. However, the previous metasurface cloaks typically work in a reflection manner that relies on a high-reflection background, thus limiting the applications. Here, we propose an easy yet viable approach to realize the transmitted metasurface cloak, just composed of two planar metasurfaces to hide an object inside, such as a cat. To tackle the hard-to-converge issue caused by the nonuniqueness phenomenon, we deploy a tandem neural network (T-NN) to efficiently streamline the inverse design. Once pretrained, the T-NN can work for a customer-desired electromagnetic response in one single forward computation, saving a great amount of time. Our work opens a new avenue to realize a transparent invisibility cloak, and the tandem-NN can also inspire the inverse design of other metamaterials and photonics.

中文翻译:

通过串联神经网络实现传输的元表面披风

几个世纪以来,随意隐匿是一个长期的梦想,无数传说都体现了这一点。人类从未停止过实现这一梦想的探索步骤。近年来,由于转换光学,超材料和超表面的出现,这种搜索取得了突破。然而,先前的超表面隐身斗篷通常以依赖于高反射背景的反射方式工作,从而限制了应用。在这里,我们提出了一种简单而可行的方法来实现透射的超表面披风,该披风仅由两个平面的超表面构成,以将内部物体(例如猫)隐藏起来。为了解决由非唯一性现象引起的难以收敛的问题,我们部署了串联神经网络(T-NN)以有效地简化逆向设计。一旦经过预训练,T-NN可以通过一次正向计算来满足客户所需的电磁响应,从而节省大量时间。我们的工作为实现透明的隐形斗篷开辟了一条新途径,而串联NN也可以启发其他超材料和光子学的逆向设计。
更新日期:2021-04-30
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