Work

Accelerating high-fidelity simulations of chemically reacting flows using reduced-order modeling with time-dependent bases

Year: 2025

Type: article

Source: Computer Methods in Applied Mechanics and Engineering

DOI: 10.1016/j.cma.2025.117758

Authors: Ki Sung Jung, Cristian E. Lacey, Hessam Babaee, Jacqueline H. Chen

Institutions: Sandia National Laboratories California, Pukyong National University, University of Pittsburgh

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funders: U.S. Department of Energy, Office of Science, National Nuclear Security Administration, Laboratory Directed Research and Development, Air Force Office of Scientific Research, Sandia National Laboratories

Award: G855168022

OpenAlex ID: W4407064586

FWCI: 2.991

Cites: 46

Cited by: 7

Related to: 10