DDA-based Inverse Design of Nanophotonic Metasurfaces: a Benchmarking of Optimization Techniques
This work is an in-depth assessment of the optimization techniques used for metasurface inverse design in the field of nanophotonics. Each technique is detailed and implemented, comparing and contrasting the results produced by the numerical methods. A unique DDA solver is used to speed up the computation of the electromagnetic fields, which are used to determine the quality of the proposed designs. Fabrication limitations are also taken into consideration, and various filters were used to introduce a minimum length-scale to the designs. Finally, multi-band optimization was implemented in order to prevent single-wavelength peaks, which are unrealizable in practice.
inverse design, nanophotonics, metasurfaces, metastructures, dielectrics, photonic modes, optimization, DDA, numerical, gradient descent, topology optimization, genetic algorithm, penalty, computation, electromagnetic fields, discretization, objective function, adjoint, GPU, CUDA, Python, C++
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