Advanced physics-informed neural networks for numerical approximation of the coupled Schrödinger-KdV equation

DOI10.1016/j.cnsns.2024.108229MaRDI QIDQ6590978

Jiangyong Hou, Changxin Qiu, Qiongni Zhang, Wen-Jing Yan

Publication date: 21 August 2024

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

zbMATH Keywords

coupled Schrödinger-KdV system\(H_1\) loss functionparallel PINNs

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Partial differential equations of mathematical physics and other areas of application (35Qxx)

This page was built for publication: Advanced physics-informed neural networks for numerical approximation of the coupled Schrödinger-KdV equation