Seung Whan Chung

According to our database, Seung Whan Chung authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hard-constrained Physics-informed Neural Networks for Interface Problems.

Seung Whan Chung, Stephen Castonguay, Sumanta Roy, Michael Penwarden, Yucheng Fu, Pratanu Roy

CoRR, April, 2026

Latent Space Element Method.

Seung Whan Chung, Youngsoo Choi, Christopher Miller, H. Keo Springer, Kyle T. Sullivan

CoRR, January, 2026

Latent space dynamics identification for interface tracking with application to shock-induced pore collapse.

Seung Whan Chung, Christopher Miller, Youngsoo Choi, Paul Tranquilli, H. Keo Springer, Kyle T. Sullivan

J. Comput. Phys., 2026

Local reduced-order modeling for electrostatic plasmas by physics-informed solution manifold decomposition.

Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof

Comput. Phys. Commun., 2026

Theory and numerics of subspace approximation of eigenvalue problems.

Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung, Jean-Luc Fattebert, Coleman Kendrick, Daniel Osei-Kuffuor

Appl. Math. Comput., 2026

2025

Sequential decoder training for improved latent space dynamics identification.

William Anderson, Seung Whan Chung, Youngsoo Choi

CoRR, October, 2025

mLaSDI: Multi-stage latent space dynamics identification.

William Anderson, Seung Whan Chung, Youngsoo Choi

CoRR, June, 2025

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor.

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

CoRR, May, 2025

A time-parallel multiple-shooting method for large-scale quantum optimal control.

N. Anders Petersson, Stefanie Günther, Seung Whan Chung

J. Comput. Phys., 2025

2024

Scalable nonlinear manifold reduced order model for dynamical systems.

Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo Choi

CoRR, 2024

Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow.

Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker

CoRR, 2024

Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling.

Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker

CoRR, 2024

Improved deep learning of chaotic dynamical systems with multistep penalty losses.

Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik

CoRR, 2024

Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations.

Dibyajyoti Chakraborty, Seung Whan Chung, Romit Maulik

CoRR, 2024

Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition.

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

CoRR, 2024

2023

Accelerating Flow Simulations using Online Dynamic Mode Decomposition.

Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi

CoRR, 2023

Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling.

Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof

CoRR, 2023

2022

An optimization method for chaotic turbulent flow.

Seung Whan Chung, Jonathan B. Freund

J. Comput. Phys., 2022

2020

Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods.

Seung Whan Chung, Stephen D. Bond, Eric C. Cyr, Jonathan B. Freund

J. Comput. Phys., 2020