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Non-interleaved chiral metasurfaces and neural networks enhance the spatial resolution of polarimetry.
Light, Science & Applications 2024 Februrary 21
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.
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