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Paris A.,Interdisciplinary Laboratory for Computational Science LISC | Vaccari A.,Renewable Energies and Environmental Technologies REET | Lesina A.C.,Renewable Energies and Environmental Technologies REET | Serra E.,Interdisciplinary Laboratory for Computational Science LISC | Calliari L.,Interdisciplinary Laboratory for Computational Science LISC
Plasmonics | Year: 2012

We investigate on absorption and scattering from metal nanoparticles in view of possible applications to photovoltaic cells. The analysis, accounting for most of the parameters involved in the physical mechanism of scattering, is split into two parts. In the first part, scattering from a metallic sphere is treated analytically to investigate the dependence on sphere size, sphere metal, and surrounding medium. In the second part, scattering from a metallic particle is investigated as a function of particle shape (spheroids, hemispheres, and cylinders) via numerical simulations based on the finite-difference time-domain method. The aim of the work is to provide a systematic study on scattering and absorption by metal nanoparticles, exploring several combinations of material and geometrical parameters in order to identify those combinations that could play a key role in solar cell efficiency improvement. © 2012 Springer Science+Business Media, LLC.


Cala' Lesina A.,Renewable Energies and Environmental Technologies REET | Vaccari A.,Renewable Energies and Environmental Technologies REET | Bozzoli A.,Renewable Energies and Environmental Technologies REET
Progress In Electromagnetics Research M | Year: 2012

One of the main techniques for the Finite-Difference Time-Domain (FDTD) analysis of dispersive media is the Recursive Convolution (RC) method. The idea here proposed for calculating the updating FDTD equation is based on the Laplace transform and is applied to the Drude dispersion case. A novel RC-FDTD algorithm, that we call modified, is then deduced. We test our algorithm by simulating gold and silver nanospheres exposed to an optical plane wave and by comparing the results with the analytical solution. The modified algorithm guarantees a better overall accuracy of the solution, in particular at the plasmonic resonance frequencies.

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