60 citations · 308 across the 42 of their papers we have counts for
48 papers
An isotropic recovery-based error estimator algorithm for mesh adaptation in a finite volume environment with application to atmospheric flows
Lander Besabe, Michele Girfoglio, Simona Perotto +2
We develop an Isotropic Recovery-based Error Estimator (IREE) to drive mesh adaptation within a finite volume framework. Recovery-based error estimators are widely used in practice…
A Quadratic Order Reduction -- Gaussian Process Ordinary Differential Equation framework for the inference of Large Continuous Dynamical Systems
Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza
Forecasting the evolution of complex dynamical systems remains a fundamentally challenging task, primarily due to pronounced nonlinear interactions, high-dimensional state spaces,…
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…
On an adjoint-based numerical approach for time-dependent optimal control problems of biomedical interest
Zahra Mirzaiyan, Pierfrancesco Siena, Pasquale Claudio Africa +2
This work develops a rigorous numerical framework for solving time-dependent Optimal Control Problems (OCPs) governed by partial differential equations, with a particular focus on…
A Review of Equation-Based and Data-Driven Reduced Order Models featuring a Hybrid cardiovascular application
Pierfrancesco Siena, Pasquale Claudio Africa, Michele Girfoglio +1
Cardiovascular diseases are a leading cause of death in the world, driving the development of patient-specific and benchmark models for blood flow analysis. This chapter provides a…
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…
Randomized Proper Orthogonal Decomposition for data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model
Lander Besabe, Michele Girfoglio, Annalisa Quaini +1
The two-layer quasi-geostrophic equations (2QGE) serve as a simplified model for simulating wind-driven, stratified ocean flows. However, their numerical simulation remains computa…
Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows
Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini +1
Forecasting atmospheric flows with traditional discretization methods, also called full order methods (e.g., finite element methods or finite volume methods), is computationally ex…
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…
A hybrid Reduced Order Model to enforce outflow pressure boundary conditions in computational haemodynamics
Pierfrancesco Siena, Pasquale Claudio Africa, Michele Girfoglio +1
This paper deals with the development of a Reduced-Order Model (ROM) to investigate haemodynamics in cardiovascular applications. It employs the use of Proper Orthogonal Decomposit…
Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows
Anna Ivagnes, Maria Strazzullo, Michele Girfoglio +2
Numerical stabilization techniques are often employed in under-resolved simulations of convection-dominated flows to improve accuracy and mitigate spurious oscillations. Specifical…
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…
Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows
Surabhi Rathore, Pasquale Claudio Africa, Francesco Ballarin +3
This paper presents a projection-based reduced order modelling (ROM) framework for unsteady parametrized optimal control problems (OCPs) arising from cardiovascular (CV) ap…
Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model
Lander Besabe, Michele Girfoglio, Annalisa Quaini +1
The two-layer quasi-geostrophic equations (2QGE) is a simplified model that describes the dynamics of a stratified, wind-driven ocean in terms of potential vorticity and stream fun…
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…
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…
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…
Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework
Nicola Clinco, Michele Girfoglio, Annalisa Quaini +1
We develop, and implement in a Finite Volume environment, a density-based approach for the Euler equations written in conservative form using density, momentum, and total energy as…
Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model
Lander Besabe, Michele Girfoglio, Annalisa Quaini +1
Although the two-layer quasi-geostrophic equations (2QGE) are a simplified model for the dynamics of a stratified, wind-driven ocean, their numerical simulation is still plagued by…
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…
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…
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…
A Comparison of Data-Driven Reduced Order Models for the Simulation of Mesoscale Atmospheric Flow
Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini +1
The simulation of atmospheric flows by means of traditional discretization methods remains computationally intensive, hindering the achievement of high forecasting accuracy in shor…
Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations
Nicola Clinco, Michele Girfoglio, Annalisa Quaini +1
We present a filter stabilization technique for the mildly compressible Euler equations that relies on a linear or nonlinear indicator function to identify the regions of the domai…