MS1-03A Data-Driven Modeling and Machine Learning for Multiphysics Simulations

Wed, 26/04/2023
10:00 - 12:00
Auditorium C
Chaired by:
Prof. Rajeev Jaiman (University of British Columbia Vancouver)

Contributions in this session:

  • (Keynote) The Force Partitioning Method - A Data-Enabled Method for Dissecting Vortex Dominated Flows and Fluid-Structure Interaction
    R. Mittal*, J. Seo, U. Ismail, K. Menon
  • CNNs and autoencoders for surrogate models of a rocket engine injector from Large Eddy Simulations
    J. Zapata Usandivaras*, A. Urbano, M. Bauerheim, B. Cuenot
  • Efficient Genetic Programming for data-driven RANS model discovery
    R. Dwight*, R. Tian
  • Optimisation of a Vortex Particle Separator using Bayesian Optimisation and CFD
    A. Roberts*, A. Rahat, D. Jarman, G. Tabor, J. Fieldsend