Work

A Scalable Reduced‐Order Model for the Steady Navier–Stokes Equations

Year: 2026

Type: article

Source: International Journal for Numerical Methods in Engineering

DOI: 10.1002/nme.70314

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

Institution: Lawrence Livermore National Laboratory

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: U.S. Department of Energy, Advanced Scientific Computing Research, Laboratory Directed Research and Development

Awards: G14554683, G3601280627, G5860674683, G6928048724

OpenAlex ID: W7141115322

FWCI:

Cites: 85

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