超材料
纳米光子学
计算机科学
材料科学
领域(数学)
纳米技术
工程物理
材料设计
光学材料
光子超材料
光电子学
物理
数学
复合材料
纯数学
作者
Omar A. M. Abdelraouf,Ziyu Wang,Hailong Liu,Zhaogang Dong,Qian Wang,Ming Ye,Xiao Renshaw Wang,Qi Jie Wang,Hong Liu
出处
期刊:ACS Nano
[American Chemical Society]
日期:2022-08-17
卷期号:16 (9): 13339-13369
被引量:45
标识
DOI:10.1021/acsnano.2c04628
摘要
Metasurfaces, a two-dimensional (2D) form of metamaterials constituted by planar meta-atoms, exhibit exotic abilities to tailor electromagnetic (EM) waves freely. Over the past decade, tremendous efforts have been made to develop various active materials and incorporate them into functional devices for practical applications, pushing the research of tunable metasurfaces to the forefront of nanophotonics. Those active materials include phase change materials (PCMs), semiconductors, transparent conducting oxides (TCOs), ferroelectrics, liquid crystals (LCs), atomically thin material, etc., and enable intriguing performances such as fast switching speed, large modulation depth, ultracompactness, and significant contrast of optical properties under external stimuli. Integration of such materials offers substantial tunability to the conventional passive nanophotonic platforms. Tunable metasurfaces with multifunctionalities triggered by various external stimuli bring in rich degrees of freedom in terms of material choices and device designs to dynamically manipulate and control EM waves on demand. This field has recently flourished with the burgeoning development of physics and design methodologies, particularly those assisted by the emerging machine learning (ML) algorithms. This review outlines recent advances in tunable metasurfaces in terms of the active materials and tuning mechanisms, design methodologies, and practical applications. We conclude this review paper by providing future perspectives in this vibrant and fast-growing research field.
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