9 citations · 9 across the 5 of their papers we have counts for
3 papers · 1 filter
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
Matteo Zancanaro, Markus Mrosek, Giovanni Stabile +2
Geometrically parametrized Partial Differential Equations are nowadays widely used in many different fields as, for example, shape optimization processes or patient specific surger…
Reduced order models for the incompressible Navier-Stokes equations on collocated grids using a 'discretize-then-project' approach
Sabrina Kelbij Star, Benjamin Sanderse, Giovanni Stabile +2
A novel reduced order model (ROM) for incompressible flows is developed by performing a Galerkin projection based on a fully (space and time) discrete full order model (FOM) formul…
A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step
Kelbij Star, Giovanni Stabile, Gianluigi Rozza +1
A Finite-Volume based POD-Galerkin reduced order modeling strategy for steady-state Reynolds averaged Navier--Stokes (RANS) simulation is extended for low-Prandtl number flow. The…