2019
DOI: 10.1109/jlt.2019.2902544
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Far-Field Subwavelength Imaging Using Phase Gradient Metasurfaces

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Cited by 35 publications
(13 citation statements)
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“…Although this is a high-resolution method, the object must be scanned and this can be time consuming especially for imaging large samples. Recently, gradient metasurfaces have been proposed to extract information from large propagating wave vectors in order to go beyond the diffraction limit 25 , 26 . Such monochromatic approaches seem limited, since all spatial information propagating away from an object is mixed in a unique wave field.…”
Section: Introductionmentioning
confidence: 99%
“…Although this is a high-resolution method, the object must be scanned and this can be time consuming especially for imaging large samples. Recently, gradient metasurfaces have been proposed to extract information from large propagating wave vectors in order to go beyond the diffraction limit 25 , 26 . Such monochromatic approaches seem limited, since all spatial information propagating away from an object is mixed in a unique wave field.…”
Section: Introductionmentioning
confidence: 99%
“…They are more convenient (lighter and easier to fabricate) and generally have lower loss [1][2][3][4][5]. They have been used in various applications such as cloaking [6,7], illusion [8], radar cross-section (RCS) reduction, flat lens [9], thin-film solar cells [10,11], far-field sub-wavelength and computational imaging [12][13][14] among several other applications.…”
Section: Introductionmentioning
confidence: 99%
“…Metasurfaces, which are two‐dimensional version of metamaterials [20–23], are able to apply abrupt changes of phase, amplitude, and polarisation, to the incident wave [24–27]. This ability of metasurfaces has been used in different applications such as increasing efficiency of thin film solar cells [28, 29], developing flat lenses [30], designing photonic topological insulators [31], and enhancing absorption in infrared detectors [32].…”
Section: Introductionmentioning
confidence: 99%