In this Letter, we engineer the colors of all-dielectric metasurfaces
by means of a metamodel-based optimization approach. This algorithm
combines heuristic optimization and neural networks to retrieve the
metasurface’s optimal geometrical parameters that serve to reproduce a
prescribed color. The metasurfaces were fabricated and experimentally
validated through dark field optical microscope images. We present
typical results for periodic arrays of nanoparticles with arbitrary
cross section. The approach is well-suited for color reproduction and
is computationally inexpensive.
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