Machine learning modeling of metal surface energy
Sign Up to like & getrecommendations! Published in 2021 at "Materials Chemistry and Physics"
DOI: 10.1016/j.matchemphys.2021.124622
Abstract: Abstract We develop the Gaussian process regression model to shed light on relationships between metal surface energy and pertinent physical parameters. A total of 43 metals with surface energy ranging from 0.10 to 3.68 J… read more here.
Keywords: metal surface; learning modeling; surface energy; energy ... 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