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Wavelength Controllable Forward Prediction and Inverse Design of Nanophotonic Devices Using Deep Learning

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 نشر من قبل Yuchen Song
 تاريخ النشر 2020
  مجال البحث فيزياء
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A deep learning-based wavelength controllable forward prediction and inverse design model of nanophotonic devices is proposed. Both the target time-domain and wavelength-domain information can be utilized simultaneously, which enables multiple functions, including power splitter and wavelength demultiplexer, to be implemented efficiently and flexibly.



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