Transfer Learning for Modeling Plasmonic Nanowire Waveguides
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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