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A Physics Informed Neural Network Approach to Solution and
  Identification of Biharmonic Equations of Elasticity

A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity

16 August 2021
M. Vahab
E. Haghighat
M. Khaleghi
N. Khalili
    PINN
ArXivPDFHTML

Papers citing "A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity"

4 / 4 papers shown
Title
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
I. Kavrakov
Gledson Rodrigo Tondo
Guido Morgenthal
AI4CE
57
1
0
21 May 2024
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
49
0
14 Nov 2022
Physics informed neural networks for continuum micromechanics
Physics informed neural networks for continuum micromechanics
Alexander Henkes
Henning Wessels
R. Mahnken
PINN
AI4CE
16
139
0
14 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
128
508
0
11 Mar 2020
1