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N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for
  Boundary Value Problems

N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems

16 January 2024
Jonghyuk Baek
Yanran Wang
J. S. Chen
ArXivPDFHTML

Papers citing "N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems"

3 / 3 papers shown
Title
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse
  Modeling of Finite Strain Hyperelasticity
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity
Honghui Du
Binyao Guo
QiZhi He
AI4CE
38
0
0
15 Jul 2024
Deep autoencoders for physics-constrained data-driven nonlinear
  materials modeling
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling
Xiaolong He
Qizhi He
Jiun-Shyan Chen
AI4CE
PINN
SyDa
42
56
0
03 Sep 2022
An Energy Approach to the Solution of Partial Differential Equations in
  Computational Mechanics via Machine Learning: Concepts, Implementation and
  Applications
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
E. Samaniego
C. Anitescu
S. Goswami
Vien Minh Nguyen-Thanh
Hongwei Guo
Khader M. Hamdia
Timon Rabczuk
X. Zhuang
PINN
AI4CE
153
1,339
0
27 Aug 2019
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