| 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 | 205 | 2022 |
| Design optimization using hyper-reduced-order models D Amsallem, M Zahr, Y Choi, C Farhat Structural and Multidisciplinary Optimization 51 (4), 919-940, 2015 | 202 | 2015 |
| Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish, SCME Collaboration, D Donoho Proceedings of the National Academy of Sciences 110 (4), 1181--1186, 2013 | 126 | 2013 |
| Conservative model reduction for finite-volume models K Carlberg, Y Choi, S Sargsyan Journal of Computational Physics 371, 280-314, 2018 | 117 | 2018 |
| 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 | 112 | 2020 |
| 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 | 106 | 2019 |
| 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 | 93 | 2021 |
| 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 | 82 | 2019 |
| 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 | 66 | 2021 |
| 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 | 65 | 2021 |
| Lasdi: Parametric latent space dynamics identification WD Fries, X He, Y Choi Computer Methods in Applied Mechanics and Engineering 399, 115436, 2022 | 64 | 2022 |
| Component-wise reduced order model lattice-type structure design S McBane, Y Choi Computer methods in applied mechanics and engineering 381, 113813, 2021 | 56 | 2021 |
| Efficient nonlinear manifold reduced order model Y Kim, Y Choi, D Widemann, T Zohdi arXiv preprint arXiv:2011.07727, 2020 | 53 | 2020 |
| 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 | 53 | 2020 |
| Reduced order models for Lagrangian hydrodynamics DM Copeland, SW Cheung, K Huynh, Y Choi Computer Methods in Applied Mechanics and Engineering 388, 114259, 2022 | 50 | 2022 |
| Analyzing evacuation versus shelter‐in‐place strategies after a terrorist nuclear detonation LM Wein, Y Choi, S Denuit Risk Analysis: An International Journal 30 (9), 1315-1327, 2010 | 50 | 2010 |
| Accelerating design optimization using reduced order models Y Choi, G Oxberry, D White, T Kirchdoerfer arXiv preprint arXiv:1909.11320, 2019 | 43 | 2019 |
| 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 | 37 | 2021 |
| 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 | 34 | 2023 |
| Parametric dynamic mode decomposition for reduced order modeling QA Huhn, ME Tano, JC Ragusa, Y Choi Journal of Computational Physics 475, 111852, 2023 | 32 | 2023 |
Teeratorn KadeethumSandia National LaboratoriesEmail verificata su sandia.gov