首页|Non-interleaved chiral metasurfaces and neural networks enhance the spatial resolution of polarimetry
Non-interleaved chiral metasurfaces and neural networks enhance the spatial resolution of polarimetry
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国家科技期刊平台
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Non-interleaved chiral metasurfaces for high-spatial-resolution polarimetry are proposed and demonstrated.Furthermore,a convolutional neural network is incorporated to analyze interferometric images with the polarization state of light,and it results in accurate Stokes parameters.
Jaewon Jang、Minsu Park、Yeonsang Park
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Department of Physics,Chungnam National University,Daejeon 34134,Korea
Institute of Quantum Systems,Chungnam National University,Daejeon 34134,Korea
国家科技期刊平台
NSTL
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