MS1-08B Equation- and Data-driven Reduced-order Modeling for Fluid Flows
Corresponding Organizer: Mr. Balint Kaszas (ETH Zurich)
Chaired by:
Mr. Balint Kaszas (ETH Zurich , Switzerland)
Mr. Balint Kaszas (ETH Zurich , Switzerland)
Scheduled presentations:
-
Keynote
Applying Machine Learning to Study Fluid Mechanics
S. Brunton* -
From resolvent to Gramians: forcing and response modes for control
B. Herrmann*, P. Baddoo, S. Dawson, R. Semaan, S. Brunton, B. McKeon -
Data-driven Spectral Submanifold Reduction for the Dynamics of Fluids, Solids and their Interaction
M. Cenedese*, G. Haller -
Student
Understanding Bursting Dynamics in Two-dimensional Turbulence Using Deep Convolutional Autoencoders
J. Holey*, J. Page, M. Brenner, R. Kerswell -
Student
Reduced-Order Models of Magnetoconvection in 2D
A. Roy*, S. Tobias, C. Jones, P. Livermore, W. Arter, S. Pamela