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Reduced order modeling for flow and transport problems with Barlow Twins
  self-supervised learning

Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning

11 February 2022
T. Kadeethum
F. Ballarin
Daniel O’Malley
Youngsoo Choi
N. Bouklas
H. Yoon
    AI4CE
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Papers citing "Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning"

5 / 5 papers shown
Title
Generative Adversarial Reduced Order Modelling
Generative Adversarial Reduced Order Modelling
Dario Coscia
N. Demo
G. Rozza
GAN
AI4CE
34
5
0
25 May 2023
State Representation Learning Using an Unbalanced Atlas
State Representation Learning Using an Unbalanced Atlas
Li Meng
Morten Goodwin
Anis Yazidi
P. Engelstad
23
2
0
17 May 2023
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization
  and Data Compression
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression
Gabriel F. Barros
Malú Grave
J. Camata
A. Coutinho
AI4CE
30
3
0
16 Aug 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics
  Identification
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
AI4CE
19
36
0
26 Apr 2022
Non-intrusive reduced order modeling of poroelasticity of heterogeneous
  media based on a discontinuous Galerkin approximation
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
T. Kadeethum
F. Ballarin
N. Bouklas
AI4CE
47
26
0
28 Jan 2021
1