
MS1-03A Data-Driven Modeling and Machine Learning for Multiphysics Simulations
Chaired by:
Prof. Rajeev Jaiman (University of British Columbia Vancouver)
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