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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

15 July 2024
Honghui Du
Binyao Guo
QiZhi He
    AI4CE
ArXivPDFHTML

Papers citing "Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity"

3 / 3 papers shown
Title
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for
  Parametric PDEs
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs
Biswajit Khara
Aditya Balu
Ameya Joshi
S. Sarkar
C. Hegde
A. Krishnamurthy
Baskar Ganapathysubramanian
22
19
0
04 Oct 2021
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
117
503
0
11 Mar 2020
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
145
1,333
0
27 Aug 2019
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