Michele Girfoglio

Orcid: 0000-0003-1766-2265

According to our database1, Michele Girfoglio authored at least 29 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model.
Appl. Math. Comput., 2025

2024
Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model.
CoRR, 2024

On the accuracy and efficiency of reduced order models: towards real-world applications.
CoRR, 2024

A brief review of Reduced Order Models using intrusive and non-intrusive techniques.
CoRR, 2024

Stabilized POD Reduced Order Models for convection-dominated incompressible flows.
CoRR, 2024

Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework.
CoRR, 2024

A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems.
CoRR, 2024

2023
A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations.
J. Comput. Phys., October, 2023

Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters.
J. Sci. Comput., 2023

A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization.
J. Comput. Phys., 2023

A novel Large Eddy Simulation model for the Quasi-Geostrophic equations in a Finite Volume setting.
J. Comput. Appl. Math., 2023

Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations.
CoRR, 2023

Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review.
CoRR, 2023

2022
A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations.
CoRR, 2022

A data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft.
CoRR, 2022

An introduction to POD-Greedy-Galerkin reduced basis method.
CoRR, 2022

Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network.
CoRR, 2022

A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation.
CoRR, 2022

2021
A POD-Galerkin reduced order model for a LES filtering approach.
J. Comput. Phys., 2021

Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems.
CoRR, 2021

An efficient FV-based Virtual Boundary Method for the simulation of fluid-solid interaction.
CoRR, 2021

Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows.
CoRR, 2021

Thermomechanical modelling for industrial applications.
CoRR, 2021

The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations.
CoRR, 2021

A Hybrid Reduced Order Model for nonlinear LES filtering.
CoRR, 2021

Pressure stabilization strategies for a LES filtering Reduced Order Model.
CoRR, 2021

Fluid-structure interaction simulations with a LES filtering approach in solids4Foam.
CoRR, 2021

2020
A non-intrusive data-driven ROM framework for hemodynamics problems.
CoRR, 2020

Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device.
CoRR, 2020


  Loading...