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Optimization and uncertainty quantification of gradient index metasurfaces

Abstract : The design of intrinsically flat two-dimensional optical components, i.e., metasurfaces,generally requires an extensive parameter search to target the appropriate scattering propertiesof their constituting building blocks. Such design methodologies neglect important near-fieldinteraction effects, playing an essential role in limiting the device performance. Optimizationof transmission, phase-addressing and broadband performances of metasurfaces require newnumerical tools. Additionally, uncertainties and systematic fabrication errors should be analysed.These estimations, of critical importance in the case of large production of metaoptics components,are useful to further project their deployment in industrial applications. Here, we report on acomputational methodology to optimize metasurface designs. We complement this computationalmethodology by quantifying the impact of fabrication uncertainties on the experimentallycharacterized components. This analysis provides general perspectives on the overall metaopticsperformances, giving an idea of the expected average behavior of a large number of devices
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Contributor : Stéphane Lanteri <>
Submitted on : Wednesday, January 8, 2020 - 6:58:55 PM
Last modification on : Tuesday, December 1, 2020 - 8:56:02 AM

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Nikolai Schmitt, Niklas Georg, Gauthier Brière, Dimitrios Loukrezis, Sébastien Héron, et al.. Optimization and uncertainty quantification of gradient index metasurfaces. Optical Materials Express, OSA pub, 2019, 9 (2), pp.892. ⟨10.1364/OME.9.000892⟩. ⟨hal-02433053⟩



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