From data to dynamics: Reconstructing soliton collision phenomena in optical fibers using a convolutional autoencoder

From data to dynamics: Reconstructing soliton collision phenomena in optical fibers using a convolutional autoencoder

In this study, a convolutional autoencoder is constructed to extract and reconstruct the dynamical processes of soliton collisions in optical fibers. The model demonstrates exceptional reconstruction capabilities, accurately capturing the evolution of optical event horizons and reproducing nonlinear...

Full description

Saved in:
Bibliographic Details
Main Authors: Qibo Xu, Jifang Rong, Qilin Zeng, Xiaofang Yuan, Longnv Huang, Hua Yang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Physics
Subjects:
Convolutional autoencoder
Soliton collisions
Optical event horizon
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379724007125
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items