Randomized Neural Networks with Petrov–Galerkin Methods for Solving Linear Elasticity and Navier–Stokes Equations-Reference-Cited by-同舟云学术

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Randomized Neural Networks with Petrov–Galerkin Methods for Solving Linear Elasticity and Navier–Stokes Equations

Published:2024-04 Issue:4 Volume:150 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Shang Yong¹,Wang Fei²^ORCID

Affiliation:

1. School of Mathematics and Statistics, Xi’an Jiaotong Univ., Xi’an, Shaanxi 710049, PR China.

2. Professor, School of Mathematics and Statistics & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong Univ., Xi’an, Shaanxi 710049, PR China (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-7463

Reference50 articles.

1. Finite elements for symmetric tensors in three dimensions

2. Mixed finite element methods for linear elasticity with weakly imposed symmetry

3. Mixed finite elements for elasticity

4. On Locking and Robustness in the Finite Element Method

5. Physics-Informed Neural Networks for Heat Transfer Problems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Local randomized neural networks with hybridized discontinuous Petrov–Galerkin methods for Stokes–Darcy flows;Physics of Fluids;2024-08-01

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