  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.
