Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices

Minwoo Jung,Keisuke Kojima,Toshiaki Koike-Akino,Ye Wang,Dayu Zhu,Matthew Brand

Conference on Lasers and Electro-Optics（2022）

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摘要

We develop generative deep neural networks that explore relevant statistical structures to expedite a complex inverse design of nanophotonic on-chip wavelength de-multiplexer. Our design, targeting at telecomm-wavelengths, is electrically switchable via liquid crystal tuning.

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关键词

on-chip wavelength de-multiplexer,telecomm-wavelengths,right deep neural network model,tunable nanophotonic devices,generative deep neural networks,relevant statistical structures,complex inverse design

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