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20232026
most citedScalable nonlinear manifold reduced order model for dynamical systems

2 citations · 6 across the 14 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

math.NA2024

Theory and numerics of subspace approximation of eigenvalue problems

Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung +3

Large-scale eigenvalue problems arise in various fields of science and engineering and demand computationally efficient solutions. In this study, we investigate the subspace approx…

math.NA2024★ 2 cited

Scalable nonlinear manifold reduced order model for dynamical systems

Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung +2

The domain decomposition (DD) nonlinear-manifold reduced-order model (NM-ROM) represents a computationally efficient method for integrating underlying physics principles into a neu…

math.NA2024

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

Seung Whan Chung, Youngsoo Choi, Pratanu Roy +6

Computational physics simulation can be a powerful tool to accelerate industry deployment of new scientific technologies. However, it must address the challenge of computationally…

math.NA2024

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

Seung Whan Chung, Youngsoo Choi, Pratanu Roy +6

Scaling up new scientific technologies from laboratory to industry often involves demonstrating performance on a larger scale. Computer simulations can accelerate design and predic…

cs.LG2024

Improved deep learning of chaotic dynamical systems with multistep penalty losses

Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay +1

Predicting the long-term behavior of chaotic systems remains a formidable challenge due to their extreme sensitivity to initial conditions and the inherent limitations of tradition…

quant-ph2024

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

N. Anders Petersson, Stefanie Günther, Seung Whan Chung

Quantum optimal control plays a crucial role in quantum computing by providing the interface between compiler and hardware. Solving the optimal control problem is particularly chal…

physics.plasm-ph2024

Characterization of uncertainties in electron-argon collision cross sections

Seung Whan Chung, Todd A. Oliver, Laxminarayan L. Raja +1

The predictive capability of a plasma discharge model depends on accurate representations of electron-impact collision cross sections, which determine the key reaction rates and tr…