Author Affiliations
Abstract
1 Zhejiang University, ZJU-UIUC Institute, Interdisciplinary Center for Quantum Information, State Key Laboratory of Extreme Photonics and Instrumentation, Hangzhou, China
2 Zhejiang University, ZJU-Hangzhou Global Science and Technology Innovation Center, Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang, Hangzhou, China
3 Zhejiang University, Jinhua Institute of Zhejiang University, Jinhua, China
Being invisible ad libitum has long captivated the popular imagination, particularly in terms of safeguarding modern high-end instruments from potential threats. Decades ago, the advent of metamaterials and transformation optics sparked considerable interest in invisibility cloaks, which have been mainly demonstrated in ground and waveguide modalities. However, an omnidirectional flying cloak has not been achieved, primarily due to the challenges associated with dynamic synthesis of metasurface dispersion. We demonstrate an autonomous aeroamphibious invisibility cloak that incorporates a suite of perception, decision, and execution modules, capable of maintaining invisibility amidst kaleidoscopic backgrounds and neutralizing external stimuli. The physical breakthrough lies in the spatiotemporal modulation imparted on tunable metasurfaces to sculpt the scattering field in both space and frequency domains. To intelligently control the spatiotemporal metasurfaces, we introduce a stochastic-evolution learning that automatically aligns with the optimal solution through maximum probabilistic inference. In a fully self-driving experiment, we implement this concept on an unmanned drone and showcase adaptive invisibility in three canonical landscapes—sea, land, and air—with a similarity rate of up to 95%. Our work extends the family of invisibility cloaks to flying modality and inspires other research on material discoveries and homeostatic meta-devices.
intelligent metasurfaces optical materials and structures deep learning 
Advanced Photonics
2024, 6(1): 016001
Zheng Zhen 1,2,3Chao Qian 1,2,3,5,*Yuetian Jia 1,2,3Zhixiang Fan 1,2,3[ ... ]Erping Li 1,2,3
Author Affiliations
Abstract
1 Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
2 ZJU-Hangzhou Global Science and Technology Innovation Center, Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang, Zhejiang University, Hangzhou 310027, China
3 International Joint Innovation Center ZJU-UIUC Institute, Zhejiang University, Haining 314400, China
4 College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
5 e-mail: chaoqianzju@zju.edu.cn
6 e-mail: ran.hao@cjlu.edu.cn
7 e-mail: zhengbin@zju.edu.cn

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.

Photonics Research
2021, 9(5): 0500B229
Tong Cai 1,2,3†Shiwei Tang 4Bin Zheng 1,3,*Guangming Wang 2[ ... ]Hongsheng Chen 1,3,*
Author Affiliations
Abstract
1 Zhejiang University, College of Information Science and Electronic Engineering, Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, Hangzhou, China
2 Air Force Engineering University, Air and Missile Defend College, Xi’an, China
3 Zhejiang University, ZJU-Hangzhou Global Science and Technology Innovation Center, Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang, Hangzhou, China
4 Ningbo University, Department of Physics, Faculty of Science, Ningbo, China
Chromatic aberration-free meta-devices (e.g., achromatic meta-devices and abnormal chromatic meta-devices) play an essential role in modern science and technology. However, current efforts suffer the issues of low efficiency, narrow operating band, and limited wavefront manipulation capability. We propose a general strategy to design chromatic aberration-free meta-devices with high-efficiency and ultrabroadband properties, which is realized by satisfying the key criteria of desirable phase dispersion and high reflection amplitudes at the target frequency interval. The phase dispersion is tuned successfully based on a multiresonant Lorentz model, and high reflection is guaranteed by the presence of the metallic ground. As proof of the concept, two microwave meta-devices are designed, fabricated, and experimentally characterized. An achromatic meta-mirror is proposed within 8 to 12 GHz, and another abnormal chromatic meta-mirror can tune the reflection angle as a linear function. Both meta-mirrors exhibit very high efficiencies (85% to 94% in the frequency band). Our findings open a door to realize chromatic aberration-free meta-devices with high efficiency and wideband properties and stimulate the realizations of chromatic aberration-free meta-devices with other functionalities or working at higher frequency.
chromatic aberration-free meta-devices ultrabroadband metasurface phase and dispersion control multiresonant Lorentz model 
Advanced Photonics
2021, 3(1): 016001
作者单位
摘要
1 武汉大学电子信息学院, 湖北 武汉 430072
2 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
针对普通相机无法拍摄出符合视觉美感的背景虚化图像的问题,提出了一种基于相控高斯核的多聚焦图像景深模拟算法。对多聚焦图像进行热扩散方程的数学建模,提出自适应的初始化图像深度值来优化求解偏微分方程,通过正则化得到修正后的图像深度信息,分离出前景和背景;并提出一种基于相控高斯核的景深模拟算法来模拟大光圈相机得到的背景虚化效果。理论分析和实验表明,与已公开的算法相比,本算法能准确的提取出图像的深度信息,并模拟出真实的景深效果。
图像处理 景深模拟 相控高斯核 热扩散方程 多聚焦图像 
光学学报
2014, 34(10): 1011006

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