Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations-Reference-Cited by-同舟云学术

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Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations

Published:2024-06 Issue: Volume:299 Page:109130
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Zhang Dinglei,Li Ying,Ying Shihui

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference38 articles.

1. A Modern Introduction to Differential Equations;Ricardo,2020

2. Introduction to Partial Differential Equations, vol. 1;Olver,2014

3. Finite element modeling of blood flow in arteries;Taylor;Comput. Methods Appl. Mech. Eng.,1998

4. A finite difference method for fractional partial differential equation;Zhang;Appl. Math. Comput.,2009

5. Finite volume methods;Eymard;Handb. Numer. Anal.,2000

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1. Comment on “Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations” by D. Zhang, Y. Li, and S. Ying;Computer Physics Communications;2024-10

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