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2011.07727
Cited By
Efficient nonlinear manifold reduced order model
13 November 2020
Youngkyu Kim
Youngsoo Choi
David Widemann
T. Zohdi
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Papers citing
"Efficient nonlinear manifold reduced order model"
17 / 17 papers shown
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling
Christophe Bonneville
Xiaolong He
April Tran
Jun Sur Richard Park
William D. Fries
...
David M. Bortz
Debojyoti Ghosh
Jiun-Shyan Chen
Jonathan Belof
Youngsoo Choi
AI4CE
286
24
0
16 Mar 2024
tLaSDI: Thermodynamics-informed latent space dynamics identification
Computer Methods in Applied Mechanics and Engineering (CMAME), 2024
Jun Sur Richard Park
Siu Wun Cheung
Youngsoo Choi
Yeonjong Shin
AI4CE
342
19
0
09 Mar 2024
TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs
Yanlai Chen
Yajie Ji
A. Narayan
Zhenli Xu
PINN
203
11
0
06 Mar 2024
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning
Hao Liu
Biraj Dahal
Rongjie Lai
Wenjing Liao
AI4CE
241
10
0
19 Jan 2024
Reduced-order modeling for parameterized PDEs via implicit neural representations
Tianshu Wen
Kookjin Lee
Youngsoo Choi
AI4CE
237
8
0
28 Nov 2023
Weak-Form Latent Space Dynamics Identification
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
April Tran
Xiaolong He
Daniel Messenger
Youngsoo Choi
David M. Bortz
289
25
0
20 Nov 2023
Efficient machine-learning surrogates for large-scale geological carbon and energy storage
T. Kadeethum
Stephen J Verzi
Hongkyu Yoon
AI4CE
165
2
0
11 Oct 2023
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
Christophe Bonneville
Youngsoo Choi
Debojyoti Ghosh
Jonathan Belof
AI4CE
153
35
0
10 Aug 2023
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder
Engineering computations (Eng. Comput.), 2023
Sihun Lee
Sangmin Lee
Ki-Hyun Jang
Haeseong Cho
Sang-Joon Shin
188
9
0
10 Jul 2023
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression
Engineering computations (Eng. Comput.), 2022
Gabriel F. Barros
Malú Grave
J. Camata
A. Coutinho
AI4CE
148
3
0
16 Aug 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
Journal of Computational Physics (JCP), 2022
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
AI4CE
161
49
0
26 Apr 2022
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
Scientific Reports (Sci Rep), 2022
T. Kadeethum
F. Ballarin
Daniel O’Malley
Youngsoo Choi
N. Bouklas
H. Yoon
AI4CE
200
20
0
11 Feb 2022
Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs
Journal of Scientific Computing (J. Sci. Comput.), 2022
Ludovica Cicci
S. Fresca
Andrea Manzoni
AI4CE
175
31
0
05 Feb 2022
Machine Learning in Heterogeneous Porous Materials
Martha DÉli
H. Deng
Cedric G. Fraces
K. Garikipati
L. Graham‐Brady
...
H. Tchelepi
B. Važić
Hari S. Viswanathan
H. Yoon
P. Zarzycki
AI4CE
193
11
0
04 Feb 2022
Nonlinear proper orthogonal decomposition for convection-dominated flows
Shady E. Ahmed
Omer San
Adil Rasheed
T. Iliescu
179
45
0
15 Oct 2021
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
Advances in Water Resources (Adv. Water Resour.), 2021
T. Kadeethum
F. Ballarin
Y. Cho
Daniel O’Malley
H. Yoon
N. Bouklas
AI4CE
179
68
0
23 Jul 2021
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
Matteo Zancanaro
Markus Mrosek
G. Stabile
C. Othmer
G. Rozza
AI4CE
92
16
0
20 Jul 2021
1
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