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GNN-based physics solver for time-independent PDEs

GNN-based physics solver for time-independent PDEs

28 March 2023
R. J. Gladstone
H. Rahmani
V. Suryakumar
Hadi Meidani
M. DÉlia
A. Zareei
    AI4CE
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Papers citing "GNN-based physics solver for time-independent PDEs"

11 / 11 papers shown
Title
Digital Twin-Enabled Real-Time Control in Robotic Additive Manufacturing via Soft Actor-Critic Reinforcement Learning
Digital Twin-Enabled Real-Time Control in Robotic Additive Manufacturing via Soft Actor-Critic Reinforcement Learning
Matsive Ali
Sandesh Giri
Sen Liu
Qin Yang
AI4CE
34
0
0
29 Jan 2025
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for
  Incompressible, Low-Speed Bluff Body Aerodynamics
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics
Neil Ashton
Danielle C. Maddix
Samuel Gundry
Parisa M. Shabestari
AI4CE
25
2
0
30 Jul 2024
ML-based identification of the interface regions for coupling local and
  nonlocal models
ML-based identification of the interface regions for coupling local and nonlocal models
Noujoud Nader
Patrick Diehl
Marta DÉlia
Christian Glusa
Serge Prudhomme
25
1
0
23 Apr 2024
A Microstructure-based Graph Neural Network for Accelerating Multiscale
  Simulations
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations
J. Storm
I. Rocha
F. P. Meer
AI4CE
33
2
0
20 Feb 2024
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model
  for Complex Material Responses
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses
S. Jafarzadeh
Stewart Silling
Ning Liu
Zhongqiang Zhang
Yue Yu
AI4CE
14
15
0
11 Jan 2024
Multiscale Neural Operators for Solving Time-Independent PDEs
Multiscale Neural Operators for Solving Time-Independent PDEs
Winfried Ripken
Lisa Coiffard
Felix Pieper
Sebastian Dziadzio
AI4CE
11
2
0
10 Nov 2023
Deep Learning-based surrogate models for parametrized PDEs: handling
  geometric variability through graph neural networks
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks
N. R. Franco
S. Fresca
Filippo Tombari
Andrea Manzoni
AI4CE
6
16
0
03 Aug 2023
A graph convolutional autoencoder approach to model order reduction for
  parametrized PDEs
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs
F. Pichi
B. Moya
J. Hesthaven
AI4CE
15
51
0
15 May 2023
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks
R. J. Gladstone
M. A. Nabian
N. Sukumar
Ankit Srivastava
Hadi Meidani
PINN
AI4CE
11
0
0
25 Oct 2022
Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
105
243
0
11 Jul 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
197
2,254
0
18 Oct 2020
1