24 citations · 67 across the 11 of their papers we have counts for
3 papers · 1 filter
Sparse Identification of Nonlinear Dynamical Systems via Reweighted -regularized Least Squares
Alexandre Cortiella, Kwang-Chun Park, Alireza Doostan
This work proposes an iterative sparse-regularized regression method to recover governing equations of nonlinear dynamical systems from noisy state measurements. The method is insp…
S-Frame Discrepancy Correction Models for Data-Informed Reynolds Stress Closure
Eric L. Peters, Riccardo Balin, Kenneth E. Jansen +2
Despite their well-known limitations, RANS models remain the most commonly employed tool for modeling turbulent flows in engineering practice. RANS models are predicated on the sol…
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
Subhayan De, Jolene Britton, Matthew Reynolds +3
Due to their high degree of expressiveness, neural networks have recently been used as surrogate models for mapping inputs of an engineering system to outputs of interest. Once tra…