2019
DOI: 10.1364/oe.27.030308
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Computational inverse design for cascaded systems of metasurface optics

Abstract: Metasurfaces are an emerging technology that may supplant many of the conventional optics found in imaging devices, displays, and precision scientific instruments. Here, we develop a method for designing optical systems composed of multiple unique metasurfaces aligned in sequence. Our approach is based on computational inverse design, also known as the adjoint-gradient method. This technique enables thousands or millions of independent design variables to be optimized in parallel, with little or no interventio… Show more

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Cited by 80 publications
(75 citation statements)
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References 92 publications
(118 reference statements)
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“…Besides, cascaded metasurfaces are known to be useful for mitigating chromatic aberration. [ 20,21 ] It is hence asserted the scheme of cascading can be leveraged to control the phase, amplitude, and polarization of electromagnetic waves simultaneously. The multi‐layer stacking scheme enables the mitigation of issues such as insufficient beam manipulation, image quality degradation, and undesirable diffraction orders, by spatially multiplexing resonators on the same metasurface.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, cascaded metasurfaces are known to be useful for mitigating chromatic aberration. [ 20,21 ] It is hence asserted the scheme of cascading can be leveraged to control the phase, amplitude, and polarization of electromagnetic waves simultaneously. The multi‐layer stacking scheme enables the mitigation of issues such as insufficient beam manipulation, image quality degradation, and undesirable diffraction orders, by spatially multiplexing resonators on the same metasurface.…”
Section: Introductionmentioning
confidence: 99%
“…To design meta-devices with target transmission profiles, it is needed to perform a large number of simulations in most meta-heuristic approaches. To resolve this issue, a machine-learning-based design approach [47] is considered in this article. Recently, machine learning (ML) has become well-known as a powerful computational tool that can be applied to many areas of science and engineering.…”
Section: Introductionmentioning
confidence: 99%
“…In this article, we present an on-chip thermally controlled varifocal metalens based on silicon 1D metasurface doublets or triplets using an inverse design approach that is very similar to that of backpropagation [47], which is often used for training neural networks. Focus tunability is achieved by controlling the refractive index of silicon metalens through the thermo-optic effect.…”
Section: Introductionmentioning
confidence: 99%
“…Adding additional metasurfaces would allow more control over the optical field (e.g. multi-wavelength performance 6,22,26 , or diffractive neural networks 26,32,33 for multi-input multi-output applications), but only two metasurfaces are necessary for amplitude and phase control at a single wavelength. As a proof of concept, we report experimental demonstrations of meta-optics that combine beam-forming and splitting, and produce high-quality, threedimensional holograms.…”
Section: Introductionmentioning
confidence: 99%