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Meshless physics-informed deep learning method for three-dimensional
  solid mechanics
v1v2 (latest)

Meshless physics-informed deep learning method for three-dimensional solid mechanics

International Journal for Numerical Methods in Engineering (IJNME), 2020
2 December 2020
Diab W. Abueidda
Q. Lu
S. Koric
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Meshless physics-informed deep learning method for three-dimensional solid mechanics"

23 / 23 papers shown
Title
Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs
Changfan Yang
Lichen Bai
Yinpeng Wang
Shufei Zhang
Bo Han
OODAI4CE
147
1
0
23 May 2025
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structuresEngineering applications of artificial intelligence (EAAI), 2025
Bilal Ahmed
Yuqing Qiu
Diab W. Abueidda
Waleed El-Sekelly
Tarek Abdoun
M. Mobasher
AI4CE
185
0
0
11 May 2025
Advancing Generalization in PINNs through Latent-Space Representations
Advancing Generalization in PINNs through Latent-Space RepresentationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Honghui Wang
Yifan Pu
Shiji Song
Gao Huang
AI4CEPINN
276
3
0
28 Nov 2024
Improving hp-Variational Physics-Informed Neural Networks for
  Steady-State Convection-Dominated Problems
Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated ProblemsComputer Methods in Applied Mechanics and Engineering (CMAME), 2024
T. Anandh
Divij Ghose
Himanshu Jain
Pratham Sunkad
Sashikumaar Ganesan
V. John
137
1
0
14 Nov 2024
Physics-informed DeepONet with stiffness-based loss functions for
  structural response prediction
Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
Bilal Ahmed
Yuqing Qiu
Diab W. Abueidda
Waleed El-Sekelly
Borja Garcia de Soto
Tarek Abdoun
M. Mobasher
135
2
0
02 Sep 2024
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
195
5
0
15 Jul 2024
Parsimonious Universal Function Approximator for Elastic and
  Elasto-Plastic Cavity Expansion Problems
Parsimonious Universal Function Approximator for Elastic and Elasto-Plastic Cavity Expansion Problems
Xiao-Xuan Chen
Pin Zhang
Hai-Sui Yu
Zhen-Yu Yin
Brian Sheil
124
4
0
08 Jul 2024
A finite element-based physics-informed operator learning framework for
  spatiotemporal partial differential equations on arbitrary domains
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
Yusuke Yamazaki
Ali Harandi
Mayu Muramatsu
A. Viardin
Markus Apel
T. Brepols
Stefanie Reese
Shahed Rezaei
AI4CE
325
23
0
21 May 2024
FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries
FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries
T. Anandh
Divij Ghose
Himanshu Jain
Sashikumaar Ganesan
133
6
0
18 Apr 2024
Dynamically configured physics-informed neural network in topology
  optimization applications
Dynamically configured physics-informed neural network in topology optimization applications
Ji-Cheng Yin
Ziming Wen
Shuhao Li
Yaya Zhang
Hu Wang
AI4CEPINN
187
9
0
12 Dec 2023
Probabilistic Physics-integrated Neural Differentiable Modeling for
  Isothermal Chemical Vapor Infiltration Process
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Processnpj Computational Materials (npj Comput Mater), 2023
Deepak Akhare
Zeping Chen
R. Gulotty
Tengfei Luo
Jian-Xun Wang
AI4CE
222
12
0
13 Nov 2023
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
  on Structural Mechanics Applications
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics ApplicationsData-Centric Engineering (DCE), 2023
M. Haywood-Alexander
Wei Liu
Kiran Bacsa
Zhilu Lai
Eleni Chatzi
AI4CE
336
25
0
31 Oct 2023
Stochastic stiffness identification and response estimation of
  Timoshenko beams via physics-informed Gaussian processes
Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processesProbabilistic Engineering Mechanics (PEM), 2023
Gledson Rodrigo Tondo
Sebastian Rau
I. Kavrakov
Guido Morgenthal
274
7
0
21 Sep 2023
An Extreme Learning Machine-Based Method for Computational PDEs in
  Higher Dimensions
An Extreme Learning Machine-Based Method for Computational PDEs in Higher DimensionsComputer Methods in Applied Mechanics and Engineering (CMAME), 2023
Yiran Wang
Suchuan Dong
300
47
0
13 Sep 2023
Comparison of Neural FEM and Neural Operator Methods for applications in
  Solid Mechanics
Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics
Stefan Hildebrand
Sandra Klinge
AI4CE
143
6
0
04 Jul 2023
Mixed formulation of physics-informed neural networks for
  thermo-mechanically coupled systems and heterogeneous domains
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domainsInternational Journal for Numerical Methods in Engineering (IJNME), 2023
Ali Harandi
Ahmad Moeineddin
Michael Kaliske
Stefanie Reese
Shahed Rezaei
AI4CEPINN
196
57
0
09 Feb 2023
Physics-informed Neural Network: The Effect of Reparameterization in
  Solving Differential Equations
Physics-informed Neural Network: The Effect of Reparameterization in Solving Differential Equations
Siddharth Nand
Yuecheng Cai
PINN
78
1
0
28 Jan 2023
Utilising physics-guided deep learning to overcome data scarcity
Utilising physics-guided deep learning to overcome data scarcity
Jinshuai Bai
Laith Alzubaidi
Qingxia Wang
E. Kuhl
Bennamoun
Yuantong T. Gu
PINNAI4CE
282
4
0
24 Nov 2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Tian Qin
Alex Beatson
Deniz Oktay
N. McGreivy
Ryan P. Adams
AI4CE
133
15
0
03 Nov 2022
Spiking neural networks for nonlinear regression
Spiking neural networks for nonlinear regressionRoyal Society Open Science (RSOS), 2022
Alexander Henkes
Nhan Duy Truong
Henning Wessels
274
40
0
06 Oct 2022
Calibrating constitutive models with full-field data via physics
  informed neural networks
Calibrating constitutive models with full-field data via physics informed neural networks
Craig M. Hamel
K. Long
S. Kramer
AI4CE
181
36
0
30 Mar 2022
PH-Net: Parallelepiped Microstructure Homogenization via 3D
  Convolutional Neural Networks
PH-Net: Parallelepiped Microstructure Homogenization via 3D Convolutional Neural NetworksSocial Science Research Network (SSRN), 2022
Hao Peng
An-Qing Liu
Jingcheng Huang
Lingxin Cao
Jikai Liu
Lin Lu
AI4CE
137
27
0
18 Jan 2022
A deep learning energy method for hyperelasticity and viscoelasticity
A deep learning energy method for hyperelasticity and viscoelasticity
Diab W. Abueidda
S. Koric
R. Al-Rub
Corey M. Parrott
K. James
N. Sobh
AI4CE
194
81
0
15 Jan 2022
1