Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network. - Pierfrancesco Siena; Michele Girfoglio; Gianluigi Rozza (CoRR, 2022)

An introduction to POD-Greedy-Galerkin reduced basis method. - Pierfrancesco Siena; Michele Girfoglio; Gianluigi Rozza (CoRR, 2022)

A data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft. - Caterina Balzotti; Pierfrancesco Siena; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2022)

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; Gianluigi Rozza (J. Sci. Comput., 2023)

On the accuracy and efficiency of reduced order models: towards real-world applications. - Pierfrancesco Siena; Pasquale Claudio Africa; Michele Girfoglio; Gianluigi Rozza (CoRR, 2024)

A hybrid Reduced Order Model to enforce outflow pressure boundary conditions in computational haemodynamics. - Pierfrancesco Siena; Pasquale Claudio Africa; Michele Girfoglio; Gianluigi Rozza (CoRR, 2025)

Stabilized POD reduced order models for convection-dominated incompressible flows. - Pierfrancesco Siena; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (Comput. Appl. Math., 2025)