MS1-08C Equation- and Data-driven Reduced-order Modeling for Fluid Flows
Corresponding Organizer: Prof. George Haller (ETH Zürich)
Chaired by:
Prof. George Haller (ETH Zürich , Switzerland)
Prof. George Haller (ETH Zürich , Switzerland)
Scheduled presentations:
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Keynote
A Blended Projection-Based Reduced-Order Model-Artificial NeuralNetwork Concept for Addressing the Kolmogorov Barrier to the Reducibility of CFD Models
C. Farhat*, J. Barnett, Y. Maday -
Reduced-Order Modeling of Turbulent Combustion Without Offline Training Using Time-Dependent Bases
H. Babaee* -
Student
Fast and accurate reduced order modelling for the simulation of blood flow dynamics
P. Siena*, C. Balzotti, M. Girfoglio, A. Quaini, G. Rozza -
Student
Inferring Models for the Pressure Gradient in an Idealized Stenosis
E. Livingston*, A. Figueroa, K. Garikipati -
Reduced Order Models on a Variational Multi-Scale Model of Navier--Stokes
D. Torlo*, S. Rubino, G. Stabile