activity
20202026
most citedA Hybrid Reduced Order Model for nonlinear LES filtering

2 citations · 8 across the 17 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

5 papers · 1 filter

physics.flu-dyn2026

Enhancing the accuracy of under-resolved numerical simulations of atmospheric flows with super resolution

Armin Sheidani, Michele Girfoglio, Annalisa Quaini +1

Super-resolution (SR) techniques based on deep learning have recently emerged as a promising approach to enhance the spatial resolution of computational fluid dynamics simulations…

physics.flu-dyn2025

A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem

Arash Hajisharifi, Rahul Halder, Michele Girfoglio +2

The current study aims to develop a non-intrusive Reduced Order Model (ROM) to reconstruct the full temperature field for a large-scale industrial application based on both numeric…

physics.flu-dyn2025

On the choice of proper outlet boundary conditions for numerical simulation of cardiovascular flows

Zahra Mirzaiyan, Michele Girfoglio, Gianluigi Rozza

It is well known that in the computational fluid dynamics simulations related to the cardiovascular system the enforcement of outflow boundary conditions is a crucial point. In fac…

physics.flu-dyn2024

Stabilized POD Reduced Order Models for convection-dominated incompressible flows

Pierfrancesco Siena, Michele Girfoglio, Annalisa Quaini +1

We present a comparative computational study of two stabilized Reduced Order Models (ROMs) for the simulation of convection-dominated incompressible flow (Reynolds number of the or…

physics.flu-dyn2021

Fluid-structure interaction simulations with a LES filtering approach in solids4Foam

Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza

The goal of this paper is to test solids4Foam, the fluid-structure interaction (FSI) toolbox developed for foam-extend (a branch of OpenFOAM), and assess its flexibility in handlin…