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

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

Contributions in this session:

  • (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
  • Understanding Bursting Dynamics in Two-dimensional Turbulence Using Deep Convolutional Autoencoders
    J. Holey*, J. Page, M. Brenner, R. Kerswell
  • Reduced-Order Models of Magnetoconvection in 2D
    A. Roy*, S. Tobias, C. Jones, P. Livermore, W. Arter, S. Pamela