Performance tradeoffs revealed by multi-objective optimization of multi-layered core-shell nanoparticles

Tailoring the resonant behaviors of multi-layer core-shell nanoparticles can be achieved by tuning their material and geometrical parameters (i.e., the relative radii ratio and constituent material parameters in each layer). To this end, one may apply an optimization procedure in order to find the optimal particle configuration that achieves the desired behavior. When multiple performance objectives exist, one can apply multi-objective algorithms in order to simultaneously optimize each objective and study the tradeoffs between them. In this paper, the dependence on scattered field directivity as a function of the excited scattered field coefficients is studied and an inverse-design problem is proposed in order to find multi-layer nanoparticle configurations which achieve highly-directive behaviors.