Data-driven solutions and parameter discovery of the Sasa–Satsuma equation via the physics-informed neural networks method-Reference-Cited by-同舟云学术

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Data-driven solutions and parameter discovery of the Sasa–Satsuma equation via the physics-informed neural networks method

Published:2022-11 Issue: Volume:440 Page:133489
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Luo Hao-Tian,Wang Lei,Zhang Ya-Bin,Lu Gui,Su Jing-Jing,Zhao Yin-Chuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference75 articles.

1. Nonlinear Fiber Optics;Agrawal,2013

2. Nonlinear fiber optics: its history and recent progress [Invited]

3. Optical solitons in a monomode fiber

4. Nonlinear pulse propagation in a monomode dielectric guide

5. Optical Solitary Waves in the Higher Order Nonlinear Schrödinger Equation

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2. Predicting the dynamic behavior of soliton transmission in two ultra-short optical pulses based on improved physics-informed neural network;Physica Scripta;2024-09-04

3. The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation;Nonlinear Dynamics;2024-08-08

4. PGNM: Using Physics-Informed Gated Recurrent Units Network Method to capture the dynamic data feature propagation process of PDEs;Chaos, Solitons & Fractals;2024-08

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