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# Large-Scale Parametrized Metasurface Design Using Adjoint Optimization

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posted on 2021-01-19, 22:44 authored by Mahdad Mansouree, Andrew McClung, Sarath Samudrala, Amir ArbabiOptical metasurfaces are planar arrangements
of subwavelength meta-atoms
that implement a wide range of transformations on incident light.
The design of efficient metasurfaces requires that the responses of
and interactions among meta-atoms are accurately modeled. Conventionally,
each meta-atom’s response is approximated by that of a meta-atom
located in a periodic array. Although this approximation is accurate
for metastructures with slowly varying meta-atoms, it does not accurately
model the complex interactions among meta-atoms in more rapidly varying
metasurfaces. Optimization-based design techniques that rely on full-wave
simulations mitigate this problem but thus far have been mostly applied
to topology optimization of small metasurfaces. Here, we describe
an adjoint-optimization-based design technique that uses parametrized
meta-atoms. Our technique has a lower computational cost than topology
optimization approaches, enabling the design of large-scale metasurfaces
that can be readily fabricated. As proof of concept, we present the
design and experimental demonstration of high numerical aperture metalenses
with significantly higher efficiencies than their conventionally designed
counterparts.

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aperture metalensesparametrized meta-atomsOptimization-based design techniquesLarge-Scale Parametrized Metasurfac...topology optimizationincident lightadjoint-optimization-based design t...full-wave simulationstopology optimization approachessubwavelength meta-atomsAdjoint Optimization Optical metasu...

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