Seung Whan Chung

According to our database, Seung Whan Chung authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

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