137 citations · 297 across the 9 of their papers we have counts for
4 papers · 1 filter
Predictive Reduced Order Modeling of Chaotic Multi-scale Problems Using Adaptively Sampled Projections
Cheng Huang, Karthik Duraisamy
An adaptive projection-based reduced-order model (ROM) formulation is presented for model-order reduction of problems featuring chaotic and convection-dominant physics. An efficien…
Model Reduction for Multi-Scale Transport Problems using Model-form Preserving Least-Squares Projections with Variable Transformation
Cheng Huang, Christopher R. Wentland, Karthik Duraisamy +1
A projection-based formulation is presented for non-linear model reduction of problems with extreme scale disparity. The approach allows for the selection of an arbitrary, but comp…
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…
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…