483 citations · 1k across the 21 of their papers we have counts for
5 papers · 1 filter
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure
Clément Scherding, Georgios Rigas, Denis Sipp +2
Many engineering applications rely on the evaluation of expensive, non-linear high-dimensional functions. In this paper, we propose the RONAALP algorithm (Reduced Order Nonlinear A…
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Priyam Gupta, Peter J. Schmid, Denis Sipp +2
The Koopman operator presents an attractive approach to achieve global linearization of nonlinear systems, making it a valuable method for simplifying the understanding of complex…
Active Flow Control for Bluff Body Drag Reduction Using Reinforcement Learning with Partial Measurements
Chengwei Xia, Junjie Zhang, Eric C. Kerrigan +1
Active flow control for drag reduction with reinforcement learning (RL) is performed in the wake of a 2D square bluff body at laminar regimes with vortex shedding. Controllers para…
Adjoint-based linear sensitivity of a hypersonic boundary layer to steady wall blowing-suction/heating-cooling
Arthur Poulain, Cédric Content, Georgios Rigas +2
For a Mach 4.5 flat-plate adiabatic boundary layer, we study the sensitivity of the first, second Mack modes and streaks to steady wall-normal blowing/suction and wall heat flux. T…
Turbulence model augmented physics informed neural networks for mean flow reconstruction
Yusuf Patel, Vincent Mons, Olivier Marquet +1
Experimental measurements and numerical simulations of turbulent flows are characterised by a trade-off between accuracy and resolution. In this study, we combine accurate sparse p…