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An open invisible space enabled by reconfigurable metasurfaces and self-play reinforcement learning
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作者 Xinman Yin Yanyu Zhao 《Light: Science & Applications》 2025年第11期3332-3334,共3页
An open,dynamic,and electromagnetically invisible space has been constructed using reconfigurable metasurfaces and self-play reinforcement learning.A model named MetaSeeker is proposed to optimize the cloaking perform... An open,dynamic,and electromagnetically invisible space has been constructed using reconfigurable metasurfaces and self-play reinforcement learning.A model named MetaSeeker is proposed to optimize the cloaking performance of randomly distributed metasurfaces.The hidden objects can move freely within the constructed invisible space,with environmental similarity of 99.5%.This advancement provides an innovative solution for cloaking technologies in complex environments. 展开更多
关键词 hidden objects self play reinforcement learning CLOAKING optimize cloaking performance reconfigurable metasurfaces constructed invisible spacewith environmental similarity invisible space
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