Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OECC > 2021 > W4F > W4F.5

Agile dispersion engineering of photonic waveguides by using neural network aided inverse design

Zhaonian Wang, Jiangbing Du, Weihong Shen, Jiacheng Liu, Ke Xu, and Zuyuan He

Not Accessible

Your library or personal account may give you access

Abstract

A photonic design automation method for agile dispersion engineering of photonic waveguides is demonstrated by using neural network aided inverse design. Broadband low dispersion, wideband maintained constant dispersion, and slope maintained linear dispersion are obtained.

© 2021 The Author(s)

PDF Article
More Like This
Inverse design for integrated photonics using deep neural network

Keisuke Kojima, Toshiaki Koike-Akino, Yingheng Tang, and Ye Wang
IF3A.6 Integrated Photonics Research, Silicon and Nanophotonics (IPR) 2021

Nanophotonic Inverse Design Using Artificial Neural Network

John Peurifoy, Yichen Shen, Yi Yang, Li Jing, Fidel Cano-Renteria, John Joannopoulos, Max Tegmark, and Marin Soljačić
FTh4A.4 Frontiers in Optics (FiO) 2017

Deep Convolutional Neural Network for the Inverse Design of Layered Photonic Structures

Rohit Unni, Kan Yao, and Yuebing Zheng
JW2D.14 CLEO: Applications and Technology (CLEO:A&T) 2020

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use