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Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks

Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks

9 June 2021
Mario Lino
C. Cantwell
Anil A. Bharath
Stathi Fotiadis
    AI4CE
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Papers citing "Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks"

6 / 6 papers shown
Title
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Shivam Barwey
Pinaki Pal
Saumil Patel
Riccardo Balin
Bethany Lusch
V. Vishwanath
R. Maulik
R. Balakrishnan
AI4CE
99
0
0
12 Sep 2024
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes
Sebastian Strönisch
Maximilian Sander
A. Knüpfer
M. Meyer
AI4CE
14
8
0
25 Jul 2023
On the Relationships between Graph Neural Networks for the Simulation of
  Physical Systems and Classical Numerical Methods
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods
Artur P. Toshev
Ludger Paehler
A. Panizza
Nikolaus A. Adams
AI4CE
PINN
11
5
0
31 Mar 2023
MultiScale MeshGraphNets
MultiScale MeshGraphNets
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
AI4CE
25
68
0
02 Oct 2022
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
236
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,398
0
01 Dec 2016
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