8/6/22    11:00 - 13:00
Advances in high-order discretisation methods and model reduction methods for CFD problems I  
Minisymposium organized by T. Taddei and A. Ferrero
Room: Oppland (1F)
Chair: Tommaso Taddei
Efficient hyperreduction of high-order discontinuous Galerkin methods (Keynote Lecture)
Masayuki Yano

Model order reduction for physics-based machine learning
Laura Mainini

An adaptive projection-based model reduction method for nonlinear meachanics with internal variables: application to thermo-hydro-mechanical systems
Angelo Iollo, Giulia Sambataro and Tommaso Taddei

A reduced order model for the optimisation-based domain decomposition algorithm for the incompressible Navier-Stokes equations
Ivan Prusak, Monica Nonino, Francesco Ballarin and Gianluigi Rozza

An entropy-stable discontinuous Galerkin approximation of the Spalart-Allmaras turbulence model for the compressible Reynolds Averaged Navier-Stokes equations
Diego Lodares, Juan Manzanero, Esteban Ferrer and Eusebio Valero