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arXiv · 2010.15547

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

Yuchen Song·Danshi Wang·Han Ye·Jun Qin·Min Zhang
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Abstract

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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Yuchen Song, Danshi Wang, Han Ye, Jun Qin, Min Zhang. 2020-10-29. Wavelength Controllable Forward Prediction and Inverse Design of Nanophotonic Devices Using Deep Learning. https://arxiv.org/abs/2010.15547

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