optimization of large-scale vogel spiral arrays of plasmonic nanoparticles

In this paper, we combine coupled dipole approximation (cda) theory with optimization codes based on cyclic coordinate descent minimization to obtain the best configurations of plasmonic nanoparticles that produce maximal scattering or absorption efficiencies in large-scale vogel spiral arrays. the optimization is performed from the ultraviolet to the visible spectral range for different and commonly used plasmonic materials, namely gold, silver, and aluminum. general engineering trends for optimized vogel structures with varying numbers of particles are obtained for each material. the optimization strategy demonstrated in this work enables rapid prototyping of large-scale photonic-plasmonic coupled devices composed of a large number of small resonant nanoparticles, and can be utilized for the optimal design of plasmon-enhanced optical sensors, photodetectors, solar cells, and enhanced-efficiency light sources, and nonlinear optical components.