137 citations · 297 across the 9 of their papers we have counts for
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physics.comp-ph2019★ 102 cited
Learning physics-based reduced-order models for a single-injector combustion process
Renee Swischuk, Boris Kramer, Cheng Huang +1
This paper presents a physics-based data-driven method to learn predictive reduced-order models (ROMs) from high-fidelity simulations, and illustrates it in the challenging context…
physics.comp-ph2019★ 2 cited
Investigations and Improvement of Robustness of Reduced-Order Models of Reacting Flow
Cheng Huang, Karthik Duraisamy, Charles L. Merkle
The impact of chemical reactions on the robustness and accuracy of projection-based Reduced-Order Models (ROMs) of fluid flows is investigated. Both Galerkin and Least-Squares Petr…