| An optimization method for chaotic turbulent flow SW Chung, JB Freund Journal of Computational Physics 457, 111077, 2022 | 19 | 2022 |
| Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods SW Chung, SD Bond, EC Cyr, JB Freund Journal of Computational Physics 400, 108969, 2020 | 6 | 2020 |
| Divide and conquer: Learning chaotic dynamical systems with multistep penalty neural ordinary differential equations D Chakraborty, SW Chung, T Arcomano, R Maulik Computer Methods in Applied Mechanics and Engineering 432, 117442, 2024 | 4 | 2024 |
| Train small, model big: Scalable physics simulators via reduced order modeling and domain decomposition SW Chung, Y Choi, P Roy, T Moore, T Roy, TY Lin, DT Nguyen, C Hahn, ... Computer Methods in Applied Mechanics and Engineering 427, 117041, 2024 | 4 | 2024 |
| Accelerating kinetic simulations of electrostatic plasmas with reduced-order modeling PH Tsai, SW Chung, D Ghosh, J Loffeld, Y Choi, JL Belof arXiv preprint arXiv:2310.18493, 2023 | 3 | 2023 |
| Scalable physics-guided data-driven component model reduction for Stokes flow SW Chung, Y Choi, P Roy, T Roy, SE Baker Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2023 | 1 | 2023 |
| Regular sensitivity calculation and gradient-based optimization of chaotic dynamical systems SW Chung University of Illinois at Urbana-Champaign, 2021 | 1 | 2021 |
| Scalable nonlinear manifold reduced order model for dynamical systems I Zanardi, AN Diaz, SW Chung, M Panesi, Y Choi arXiv preprint arXiv:2412.00507, 2024 | | 2024 |
| Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling SW Chung, Y Choi, P Roy, T Roy, TY Lin, DT Nguyen, C Hahn, EB Duoss, ... arXiv preprint arXiv:2410.21534, 2024 | | 2024 |
| Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow SW Chung, Y Choi, P Roy, T Roy, TY Lin, DT Nguyen, C Hahn, EB Duoss, ... arXiv preprint arXiv:2410.21583, 2024 | | 2024 |
| Improved deep learning of chaotic dynamical systems with multistep penalty losses D Chakraborty, SW Chung, A Chattopadhyay, R Maulik arXiv preprint arXiv:2410.05572, 2024 | | 2024 |
| A time-parallel multiple-shooting method for large-scale quantum optimal control NA Petersson, S Günther, SW Chung arXiv preprint arXiv:2407.13950, 2024 | | 2024 |
| Characterization of uncertainties in electron-argon collision cross sections under statistical principles SW Chung, TA Oliver, LL Raja, RD Moser arXiv preprint arXiv:2404.00467, 2024 | | 2024 |
| Accelerating Flow Simulations using Online Dynamic Mode Decomposition SW Suh, SW Chung, PT Bremer, Y Choi arXiv preprint arXiv:2311.18715, 2023 | | 2023 |
| Scalable Reduced Order Model with Discontinuous Galerkin Domain Decomposition SW Chung, P Roy, Y Choi, T Moore, T Lin, T Roy, S Baker Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2023 | | 2023 |
| Finding an optimal flow control with multi-point penalty method SW Chung, J Freund Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Multi-point penalty-based optimization for optimal control of chaotic turbulent flow SW Chung, J Freund APS Division of Fluid Dynamics Meeting Abstracts, A31. 005, 2021 | | 2021 |
| Multi-point augmented Lagrangian optimization for chaotic flows SW Chung, J Freund, X Team APS Division of Fluid Dynamics Meeting Abstracts, K07. 001, 2020 | | 2020 |
| Adjoint-based analysis of controllability of turbulent jet noise SW Chung, J Freund APS Division of Fluid Dynamics Meeting Abstracts, L40. 003, 2019 | | 2019 |
| Adjoint-based Sensitivity of Jet Noise to Near-nozzle Forcing SW Chung, R Vishnampet, D Bodony, J Freund APS Division of Fluid Dynamics Meeting Abstracts, Q19. 010, 2017 | | 2017 |
