MS1-03A Data-Driven Modeling and Machine Learning for Multiphysics Simulations
Corresponding Organizer: Prof. Rajeev Jaiman (University of British Columbia Vancouver)
Chaired by:
Prof. Rajeev Jaiman (University of British Columbia Vancouver , Canada)
Prof. Rajeev Jaiman (University of British Columbia Vancouver , Canada)
Scheduled presentations:
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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 -
Student
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
