3 citations · 6 across the 4 of their papers we have counts for
4 papers
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 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 data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft
Caterina Balzotti, Pierfrancesco Siena, Michele Girfoglio +2
We consider an optimal flow control problem in a patient-specific coronary artery bypass graft with the aim of matching the blood flow velocity with given measurements as the Reyno…
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network
Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza
In this work a machine learning-based Reduced Order Model (ROM) is developed to investigate in a rapid and reliable way the hemodynamic patterns in a patient-specific configuration…