We present computational analysis of nanoantenna arrays for imaging and sensing applications at optical frequencies. Arrays of metallic nanoantennas are considered in an accurate simulation environment based on surface integral equations and the multilevel fast multipole algorithm developed for plasmonic structures. Near-zone responses of the designed arrays to nearby nanoparticles are investigated in detail to demonstrate the feasibility of detection. We show that both metallic and dielectric nanoparticles, even with subwavelength dimensions, can be detected.
.Computational design and analyses of nanoantennas obtained via surface shape optimization are presented. Starting with a kernel geometry, free deformations are applied on selected surfaces to reach optimal designs that can provide improved power enhancement capabilities at desired frequencies. An in-house implementation of genetic algorithms is efficiently combined with the multilevel fast multipole algorithm developed for accurate solutions of plasmonic problems to construct the effective optimization environment. The geometries obtained via optimization do not only represent optimal shapes within the allowed deformation limits but also reveal certain types of modifications on kernel geometries to improve their performances.
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