31 citations · 37 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Data-driven reduced order modelling for patient-specific hemodynamics of coronary artery bypass grafts with physical and geometrical parameters
Pierfrancesco Siena, Michele Girfoglio, Francesco Ballarin +1
In this work the development of a machine learning-based Reduced Order Model (ROM) for the investigation of hemodynamics in a patient-specific configuration of Coronary Artery Bypa…
An introduction to POD-Greedy-Galerkin reduced basis method
Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza
Partial differential equations can be used to model many problems in several fields of application including, e.g., fluid mechanics, heat and mass transfer, and electromagnetism. A…
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…