31 citations · 37 across the 8 of their papers we have counts for
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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 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…
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…
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…