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Certified data-driven physics-informed greedy auto-encoder simulator


Nov 24, 2022
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen

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* arXiv admin note: substantial text overlap with arXiv:2204.12005 

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gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification


Apr 26, 2022
Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen

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Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds


Feb 11, 2022
Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon

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* arXiv admin note: text overlap with arXiv:2107.11460 

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A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks


May 27, 2021
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas

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Efficient nonlinear manifold reduced order model


Nov 13, 2020
Youngkyu Kim, Youngsoo Choi, David Widemann, Tarek Zohdi

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* 10 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:2009.11990 

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A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder


Sep 28, 2020
Youngkyu Kim, Youngsoo Choi, David Widemann, Tarek Zohdi

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* 33 pages, 17 figures 

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