CFC2023

MS1-08B Equation- and Data-driven Reduced-order Modeling for Fluid Flows

Main Organizer: Mr. Balint Kaszas ( ETH Zurich , Switzerland )

Wed, 26/04/2023
13:45 - 15:45
Auditorium K
MS1-08B

Chaired by:
Mr. Balint Kaszas (ETH Zurich , Switzerland)

Keynote Applying Machine Learning to Study Fluid Mechanics
*S. Brunton (University of Washington)
From resolvent to Gramians: forcing and response modes for control
*B. Herrmann (University of Chile), P. Baddoo, S. Dawson (Illinois Institute of Technology), R. Semaan (Technische Universität Braunschweig), S. Brunton (University of Washington), B. McKeon (Stanford University)
Data-driven Spectral Submanifold Reduction for the Dynamics of Fluids, Solids and their Interaction
*M. Cenedese (ETH Zürich), G. Haller (ETH Zürich)
Student Understanding Bursting Dynamics in Two-dimensional Turbulence Using Deep Convolutional Autoencoders
*J. Holey (University of Cambridge), J. Page (University of Edinburgh), M. Brenner (Harvard University), R. Kerswell (University of Cambridge)
Student Reduced-Order Models of Magnetoconvection in 2D
*A. Roy (University of Leeds), S. Tobias (University of Leeds), C. Jones (University of Leeds), P. Livermore (University of Leeds), W. Arter (Culham Centre for Fusion Energy), S. Pamela (Culham Centre for Fusion Energy)