Artificial intelligence designer for optical Fibers: Inverse design of a Hollow-Core Anti-Resonant fiber based on a tandem neural network

Artificial intelligence designer for optical Fibers: Inverse design of a Hollow-Core Anti-Resonant fiber based on a tandem neural network

In this work, artificial intelligence (AI) is trained to “study” optical fibers as an AI optical fiber scientist. The dataset is constructed on the structural parameters and confinement loss of hollow-core anti-resonant fibers and is divided into different datasets. An effective approach to overcome...

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Bibliographic Details
Main Authors: Fanchao Meng, Jinmin Ding, Yiming Zhao, Hongwei Liu, Weiquan Su, Luyun Yang, Guangming Tao, Andrey Pryamikov, Xin Wang, Hongqian Mu, Yingli Niu, Jingwen He, Xinghua Zhang, Shuqin Lou, Xinzhi Sheng, Sheng Liang
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Results in Physics
Subjects:
Hollow-core anti-resonant fibers
Confinement loss
Inverse design
Tandem neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379723001031

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