Enhanced bi-LSTM for Modeling Nonlinear Amplification Dynamics of Ultra-Short Optical Pulses

Enhanced bi-LSTM for Modeling Nonlinear Amplification Dynamics of Ultra-Short Optical Pulses

Fiber amplifiers are essential devices for optical communication and laser physics, yet the intricate nonlinear dynamics they exhibit pose significant challenges for numerical modeling. In this study, we propose using a bi-LSTM neural network to predict the evolution of optical pulses along a fiber...

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Bibliographic Details
Main Authors: Karina Saraeva, Anastasia Bednyakova
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Photonics
Subjects:
long short-term memory
recurrent neural network
Raman scattering
gain-guiding nonlinearity
fiber amplifier
numerical simulation
Online Access:https://www.mdpi.com/2304-6732/11/2/126

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https://www.mdpi.com/2304-6732/11/2/126

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