Articoli con mandati relativi all'accesso pubblico - Youngsoo ChoiUlteriori informazioni
Disponibili pubblicamente: 40
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Y Kim, Y Choi, D Widemann, T Zohdi
Journal of Computational Physics 451, 110841, 2022
Mandati: US Department of Energy
Conservative model reduction for finite-volume models
K Carlberg, Y Choi, S Sargsyan
Journal of Computational Physics 371, 280-314, 2018
Mandati: US Department of Energy
Gradient-based constrained optimization using a database of linear reduced-order models
Y Choi, G Boncoraglio, S Anderson, D Amsallem, C Farhat
Journal of Computational Physics 423, 109787, 2020
Mandati: US Department of Energy, US Department of Defense
Space--time least-squares Petrov--Galerkin projection for nonlinear model reduction
Y Choi, K Carlberg
SIAM Journal on Scientific Computing 41 (1), A26-A58, 2019
Mandati: US Department of Energy
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks
T Kadeethum, D O’Malley, JN Fuhg, Y Choi, J Lee, HS Viswanathan, ...
Nature Computational Science 1 (12), 819-829, 2021
Mandati: US Department of Energy
Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems
Y Choi, P Brown, B Arrighi, R Anderson
arXiv preprint arXiv:1910.01260, 2019
Mandati: US Department of Energy
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
T Kadeethum, F Ballarin, Y Choi, D O'Malley, H Yoon, N Bouklas
arXiv preprint arXiv:2107.11460, 2021
Mandati: US Department of Energy, European Commission
Domain-decomposition least-squares Petrov–Galerkin (DD-LSPG) nonlinear model reduction
C Hoang, Y Choi, K Carlberg
Computer methods in applied mechanics and engineering 384, 113997, 2021
Mandati: US Department of Energy
Lasdi: Parametric latent space dynamics identification
WD Fries, X He, Y Choi
Computer Methods in Applied Mechanics and Engineering 399, 115436, 2022
Mandati: US National Science Foundation, US Department of Energy
Component-wise reduced order model lattice-type structure design
S McBane, Y Choi
Computer methods in applied mechanics and engineering 381, 113813, 2021
Mandati: US Department of Energy, US Department of Defense
SNS: A solution-based nonlinear subspace method for time-dependent model order reduction
Y Choi, D Coombs, R Anderson
SIAM Journal on Scientific Computing 42 (2), A1116-A1146, 2020
Mandati: US Department of Energy
Reduced order models for Lagrangian hydrodynamics
DM Copeland, SW Cheung, K Huynh, Y Choi
Computer Methods in Applied Mechanics and Engineering 388, 114259, 2022
Mandati: US Department of Energy
Efficient space–time reduced order model for linear dynamical systems in python using less than 120 lines of code
Y Kim, K Wang, Y Choi
Mathematics 9 (14), 1690, 2021
Mandati: US Department of Energy
gLaSDI: Parametric physics-informed greedy latent space dynamics identification
X He, Y Choi, WD Fries, JL Belof, JS Chen
Journal of Computational Physics 489, 112267, 2023
Mandati: US Department of Energy
Parametric dynamic mode decomposition for reduced order modeling
QA Huhn, ME Tano, JC Ragusa, Y Choi
Journal of Computational Physics 475, 111852, 2023
Mandati: US Department of Energy
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties
T Kadeethum, D O’Malley, Y Choi, HS Viswanathan, N Bouklas, H Yoon
Computers & Geosciences 167, 105212, 2022
Mandati: US Department of Energy
Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition
SW Cheung, Y Choi, DM Copeland, K Huynh
Journal of Computational Physics 472, 111655, 2023
Mandati: US Department of Energy
Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models
S McBane, Y Choi, K Willcox
Computer Methods in Applied Mechanics and Engineering 400, 115525, 2022
Mandati: US Department of Energy
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
T Kadeethum, F Ballarin, D O’malley, Y Choi, N Bouklas, H Yoon
Scientific Reports 12 (1), 20654, 2022
Mandati: US Department of Energy, European Commission
A dual mesh method with adaptivity for stress-constrained topology optimization
DA White, Y Choi, J Kudo
Structural and Multidisciplinary Optimization 61 (2), 749-762, 2020
Mandati: US Department of Energy
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