activity
20222024
most citedA data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft

3 citations · 11 across the 13 of their papers we have counts for

collaborators

13 papers

math.NA20241 cited

Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems

Moaad Khamlich, Federico Pichi, Michele Girfoglio +2

We present a novel reduced-order Model (ROM) that leverages optimal transport (OT) theory and displacement interpolation to enhance the representation of nonlinear dynamics in comp…

math.NA2024

On the accuracy and efficiency of reduced order models: towards real-world applications

Pierfrancesco Siena, Paquale Claudio Africa, Michele Girfoglio +1

This chapter provides an extended overview about Reduced Order Models (ROMs), with a focus on their features in terms of efficiency and accuracy. In particular, the aim is to brows…

math.NA20241 cited

A brief review of Reduced Order Models using intrusive and non-intrusive techniques

Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza

Reduced Order Models (ROMs) have gained a great attention by the scientific community in the last years thanks to their capabilities of significantly reducing the computational cos…

math.NA2024

A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems

Arash Hajisharifi, Rahul Halder, Michele Girfoglio +3

The numerical treatment of fluid-particle systems is a very challenging problem because of the complex coupling phenomena occurring between the two phases. Although accurate mathem…

physics.flu-dyn2024

A comparative computational study of different formulations of the compressible Euler equations for mesoscale atmospheric flows in a finite volume framework

Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza

We consider three conservative forms of the mildly compressible Euler equations, called CE1, CE2 and CE3, with the goal of understanding which leads to the most accurate and robust…

physics.flu-dyn2023

A Reduced Order Model formulation for left atrium flow: an Atrial Fibrillation case

Caterina Balzotti, Pierfrancesco Siena, Michele Girfoglio +5

A data-driven Reduced Order Model (ROM) based on a Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) approach is adopted in this paper for the analysis of blood flo…