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gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics
  Identification
v1v2 (latest)

gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification

Journal of Computational Physics (JCP), 2022
26 April 2022
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification"

14 / 14 papers shown
Title
mLaSDI: Multi-stage latent space dynamics identification
mLaSDI: Multi-stage latent space dynamics identification
William Anderson
Seung Whan Chung
Youngsoo Choi
Youngsoo Choi
AI4CE
266
2
0
24 Dec 2025
Sequential decoder training for improved latent space dynamics identification
Sequential decoder training for improved latent space dynamics identification
William Anderson
Seung Whan Chung
Youngsoo Choi
AI4CE
92
0
0
03 Oct 2025
Latent Twins
Latent Twins
Matthias Chung
Deepanshu Verma
Max Collins
Amit N. Subrahmanya
Varuni Katti Sastry
Vishwas Rao
SyDaAI4CE
152
1
0
24 Sep 2025
Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics
Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics
Robert Stephany
Youngsoo Choi
AI4CE
96
1
0
09 Sep 2025
Understanding the role of autoencoders for stiff dynamical systems using information theoryEnergy and AI (EA), 2025
Vijayamanikandan Vijayarangan
Harshavardhana A. Uranakara
Francisco E. Hernández-Pérez
Hong G. Im
SyDaAI4CE
238
1
0
08 Mar 2025
A Comprehensive Review of Latent Space Dynamics Identification
  Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling
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
247
21
0
16 Mar 2024
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk
  Regularization
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
Xiaoyu Xie
S. Mowlavi
M. Benosman
AI4CE
231
3
0
23 Feb 2024
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under
  High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle
  Method
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle MethodComputers and geotechnics (Comput. Geotech.), 2023
Jonghyuk Baek
Yanran Wang
Xiaolong He
Yu Lu
J. McCartney
J. S. Chen
122
0
0
24 Sep 2023
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics
  Identification through Deep Autoencoder
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep AutoencoderComputer Methods in Applied Mechanics and Engineering (CMAME), 2023
Christophe Bonneville
Youngsoo Choi
Debojyoti Ghosh
Jonathan Belof
AI4CE
146
33
0
10 Aug 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential
  Equations
Self-Supervised Learning with Lie Symmetries for Partial Differential EquationsNeural Information Processing Systems (NeurIPS), 2023
Grégoire Mialon
Q. Garrido
Hannah Lawrence
Danyal Rehman
Yann LeCun
B. Kiani
SSL
282
28
0
11 Jul 2023
Adaptive learning of effective dynamics: Adaptive real-time, online
  modeling for complex systems
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kicic
Pantelis R. Vlachas
G. Arampatzis
Michail Chatzimanolakis
Leonidas Guibas
Petros Koumoutsakos
AI4CE
123
7
0
04 Apr 2023
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization
  and Data Compression
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data CompressionEngineering computations (Eng. Comput.), 2022
Gabriel F. Barros
Malú Grave
J. Camata
A. Coutinho
AI4CE
123
3
0
16 Aug 2022
Using Conservation Laws to Infer Deep Learning Model Accuracy of
  Richtmyer-meshkov Instabilities
Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities
C. Jekel
D. Sterbentz
S. Aubry
Youngsoo Choi
D. White
Jonathan Belof
AI4CE
61
8
0
19 Jul 2022
Thermodynamically Consistent Machine-Learned Internal State Variable
  Approach for Data-Driven Modeling of Path-Dependent Materials
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent MaterialsComputer Methods in Applied Mechanics and Engineering (CMAME), 2022
Xiaolong He
Jiun-Shyan Chen
AI4CE
176
56
0
01 May 2022
1