In part I of this series of papers, we introduced an efficient
pixel-by-pixel optimization technique, utilizing the Dyson’s
equation in a Green’s function formalism. This technique
directly incorporates material and minimum feature size constraints in
practical photonic devices. The implementation in part I, however,
requires full storage of the Green’s function, which is costly.
In this paper, we further develop this optimization technique by
showing that only the diagonal part of the Green’s function
needs to be stored, and by showing that the optimization process can
be implemented using standard commercially available electromagnetic
solvers. The development here should enable a wider use of this
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