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
光学材料
光电子学
物理
数学
纯数学
作者
Omar A. M. Abdelraouf,Ziyu Wang,Hailong Liu,Hailong Liu,Zhaogang Dong,Qian Wang,Qian Wang,Ming Ye,Xiao Renshaw Wang,Qi Jie Wang,Qi Jie Wang,Hong Liu,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:232
标识
DOI:10.1021/acsnano.2c04628
摘要
, 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI