137 citations · 267 across the 11 of their papers we have counts for
3 papers · 1 filter
Interpretable and flexible non-intrusive reduced-order models using reproducing kernel Hilbert spaces
Alejandro N Diaz, Shane A McQuarrie, John T Tencer +1
This paper develops an interpretable, non-intrusive reduced-order modeling technique using regularized kernel interpolation. Existing non-intrusive approaches approximate the dynam…
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
Shane A McQuarrie, Parisa Khodabakhshi, Karen E Willcox
This work formulates a new approach to reduced modeling of parameterized, time-dependent partial differential equations (PDEs). The method employs Operator Inference, a scientific…
Data-driven reduced-order models via regularized operator inference for a single-injector combustion process
Shane A. McQuarrie, Cheng Huang, Karen E. Willcox
This paper derives predictive reduced-order models for rocket engine combustion dynamics via Operator Inference, a scientific machine learning approach that blends data-driven lear…