Towards realistic modeling of plasmonic nanostructures: a comparative study to determine the impact of optical effects on solar cell improvement
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational Electronics"
DOI: 10.1007/s10825-021-01829-x
Abstract: Plasmonic structures may improve cell performance in a variety of ways. More accurate determining of the optical influence, unlike ideal simulations, requires modeling closer to experimental cases. In this modeling and simulation, irregular nanostructures were… read more here.
Keywords: realistic modeling; modeling plasmonic; solar cell; towards realistic ... See more keywords
Modeling Plasmonic Structures Using LOD-FDTD Methods With Accurate Dispersion Models of Metals at Optical Wavelengths
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2016.2635105
Abstract: Locally one-dimensional finite-difference time-domain formulations implemented with the auxiliary differential equation technique are presented for the study of plasmonic devices that comprise dispersive materials described by the generalized modified Lorentz and partial fraction models. The… read more here.
Keywords: structures using; plasmonic structures; fdtd methods; using lod ... See more keywords
Transfer Learning for Modeling Plasmonic Nanowire Waveguides
Sign Up to like & getrecommendations! Published in 2022 at "Nanomaterials"
DOI: 10.3390/nano12203624
Abstract: Retrieving waveguiding properties of plasmonic metal nanowires (MNWs) through numerical simulations is time- and computational-resource-consuming, especially for those with abrupt geometric features and broken symmetries. Deep learning provides an alternative approach but is challenging to… read more here.
Keywords: nanowire waveguides; modeling plasmonic; transfer learning; learning modeling ... See more keywords