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Wavelength Controllable Forward Prediction and Inverse Design of Nanophotonic Devices Using Deep Learning
preprintposted on 2023-11-30, 20:51 authored by Yuchen Song, Danshi Wang, Han Ye, Jun Qin, Min Zhang
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.