Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Machine Learning Assisted Structure Design of Octagonal Photonic Crystal Fiber with High Birefringence and Low Confinement Loss

Not Accessible

Your library or personal account may give you access

Abstract

We present the design of an octagonal photonic crystal fiber assisted by the artificial neural network (ANN) with expected birefringence and confinement loss.

© 2023 The Author(s)

PDF Article
More Like This
Simultaneous strain-temperature analysis by machine learning assisted FBG sensor

Koustav Dey, Nikhil Vangety, and Sourabh Roy
ATh2K.5 CLEO: Applications and Technology (CLEO:A&T) 2022

Analysis of Solid-core Photonic Crystal Fiber for Confinement Loss and Birefringence with Square Air Hole Layers

Ritu Raj Singh, Devansh Srivastava, and Wridheeman Bhattacharya
JTh5A.64 Frontiers in Optics (FiO) 2021

Efficient Neural Network Modeling of Photonic Crystal Fiber Chromatic Dispersion

V. F. Rodríguez-Esquerre, J. J. Isídio-Lima, and A. Dourado-Sisnando
PDPTuK1 Latin America Optics and Photonics Conference (LAOP) 2010

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.