Seung Whan Chung

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Latent Space Element Method.
CoRR
Seung Whan Chung, Youngsoo Choi, Christopher Miller, H. Keo Springer, Kyle T. Sullivan
2026 J jnl
Local reduced-order modeling for electrostatic plasmas by physics-informed solution manifold decomposition.
Comput. Phys. Commun.
Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof
2026 J jnl
Theory and numerics of subspace approximation of eigenvalue problems.
Appl. Math. Comput.
Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung, Jean-Luc Fattebert, Coleman Kendrick, Daniel Osei-Kuffuor
2025 J jnl
A time-parallel multiple-shooting method for large-scale quantum optimal control.
J. Comput. Phys.
N. Anders Petersson, Stefanie Günther, Seung Whan Chung
2025 J jnl
Defining Foundation Models for Computational Science: A Call for Clarity and Rigor.
CoRR
Youngsoo Choi, Siu Wun Cheung, Youngkyu Kim, Ping-Hsuan Tsai, Alejandro N. Diaz, Ivan Zanardi, Seung Whan Chung, Dylan Matthew Copeland, Coleman Kendrick, William Anderson, Traian Iliescu, Matthias Heinkenschloss
2025 J jnl
Sequential decoder training for improved latent space dynamics identification.
CoRR
William Anderson, Seung Whan Chung, Youngsoo Choi
2025 J jnl
mLaSDI: Multi-stage latent space dynamics identification.
CoRR
William Anderson, Seung Whan Chung, Youngsoo Choi
2024 J jnl
Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations.
CoRR
Dibyajyoti Chakraborty, Seung Whan Chung, Romit Maulik
2024 J jnl
Improved deep learning of chaotic dynamical systems with multistep penalty losses.
CoRR
Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik
2024 J jnl
Scalable nonlinear manifold reduced order model for dynamical systems.
CoRR
Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo Choi
2024 J jnl
Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow.
CoRR
Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
2024 J jnl
Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling.
CoRR
Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
2024 J jnl
Theory and numerics of subspace approximation of eigenvalue problems.
CoRR
Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung, Jean-Luc Fattebert, Coleman Kendrick, Daniel Osei-Kuffuor
2024 J jnl
Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition.
CoRR
Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Moore, Thomas Roy, Tiras Y. Lin, Du Y. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
2023 J jnl
Accelerating Flow Simulations using Online Dynamic Mode Decomposition.
CoRR
Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi
2023 J jnl
Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling.
CoRR
Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof
2022 J jnl
An optimization method for chaotic turbulent flow.
J. Comput. Phys.
Seung Whan Chung, Jonathan B. Freund
2020 J jnl
Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods.
J. Comput. Phys.
Seung Whan Chung, Stephen D. Bond, Eric C. Cyr, Jonathan B. Freund