2 papers
physics.flu-dyn2024
Efficient Transonic Aeroelastic Model Reduction Using Optimized Sparse Multi-Input Polynomial Functionals
Michael Candon, Maciej Balajewicz, Arturo Delgado-Gutierrez +2
Nonlinear aeroelastic reduced-order models (ROMs) based on machine learning or artificial intelligence algorithms can be complex and computationally demanding to train, meaning tha…
physics.flu-dyn2024
Optimal Sparsity in Nonlinear Non-Parametric Reduced Order Models for Transonic Aeroelastic Systems
Michael Candon, Errol Hale, Maciej Balajewicz +2
Machine learning and artificial intelligence algorithms typically require large amount of data for training. This means that for nonlinear aeroelastic applications, where small tra…