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作 者:Qian Ma Guo Dong Bai Hong Bo Jing Cheng Yang Lianlin Li Tie Jun Cui
机构地区:[1]State Key Laboratory of Millimeter Wave,Southeast University,210096 Nanjing,China [2]Jiangsu Cyber-Space Science&Technology Co.,Ltd.,12 Mozhou East Road,211111 Nanjing,China [3]State Key Laboratory of Advanced Optical Communication Systems and Networks,Department of Electronics,Peking University,100871 Beijing,China
出 处:《Light(Science & Applications)》2019年第1期266-277,共12页光(科学与应用)(英文版)
基 金:supported in part by the National Key Research and Development Program of China(2017YFA0700201,2017YFA0700202,and 2017YFA0700203);in part by the National Natural Science Foundation of China(61631007,61571117,61501112,61501117,61522106,61731010,61735010,61722106,61701107,and 61701108);in part by the 111 Project(111-2-05);in part by the Fund for International Cooperation and Exchange of the National Natural Science Foundation of China(61761136007).
摘 要:Intelligence at either the material or metamaterial level is a goal that researchers have been pursuing.From passive to active,metasurfaces have been developed to be programmable to dynamically and arbitrarily manipulate electromagnetic(EM)wavefields.However,the programmable metasurfaces require manual control to switch among different functionalities.Here,we put forth a smart metasurface that has self-adaptively reprogrammable functionalities without human participation.The smart metasurface is capable of sensing ambient environments by integrating an additional sensor(s)and can adaptively adjust its EM operational functionality through an unmanned sensing feedback system.As an illustrative example,we experimentally develop a motion-sensitive smart metasurface integrated with a three-axis gyroscope,which can adjust self-adaptively the EM radiation beams via different rotations of the metasurface.We develop an online feedback algorithm as the control software to make the smart metasurface achieve single-beam and multibeam steering and other dynamic reactions adaptively.The proposed metasurface is extendable to other physical sensors to detect the humidity,temperature,illuminating light,and so on.Our strategy will open up a new avenue for future unmanned devices that are consistent with the ambient environment.
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