Francesco Ballarin
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Supremizer stabilization of POD–Galerkin approximation of parametrized steady incompressible Navier–Stokes equations
F Ballarin, A Manzoni, A Quarteroni, G Rozza
International Journal for Numerical Methods in Engineering, 2014
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD–Galerkin method and a vascular shape parametrization
F Ballarin, E Faggiano, S Ippolito, A Manzoni, A Quarteroni, G Rozza, ...
Journal of Computational Physics 315, 609-628, 2016
A reduced order variational multiscale approach for turbulent flows
G Stabile, F Ballarin, G Zuccarino, G Rozza
Advances in Computational Mathematics, 1-20, 2018
POD–Galerkin monolithic reduced order models for parametrized fluid‐structure interaction problems
F Ballarin, G Rozza
International Journal for Numerical Methods in Fluids 82 (12), 1010-1034, 2016
On a certified Smagorinsky reduced basis turbulence model
TC Rebollo, ED ┴vila, MG Mßrmol, F Ballarin, G Rozza
SIAM Journal on Numerical Analysis 55 (6), 3047-3067, 2017
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
T Kadeethum, F Ballarin, Y Choi, D O’Malley, H Yoon, N Bouklas
Advances in Water Resources 160, 104098, 2022
Numerical modeling of hemodynamics scenarios of patient-specific coronary artery bypass grafts
F Ballarin, E Faggiano, A Manzoni, A Quarteroni, G Rozza, S Ippolito, ...
Biomechanics and modeling in mechanobiology 16, 1373-1399, 2017
Shape optimization by free-form deformation: existence results and numerical solution for Stokes flows
F Ballarin, A Manzoni, G Rozza, S Salsa
Journal of Scientific Computing 60, 537-563, 2014
Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering
M Strazzullo, F Ballarin, R Mosetti, G Rozza
SIAM Journal on Scientific Computing 40 (4), B1055-B1079, 2018
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics
F Pichi, F Ballarin, G Rozza, JS Hesthaven
Computers & Fluids 254, 105813, 2023
Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods
M Tezzele, F Ballarin, G Rozza
Mathematical and Numerical Modeling of the Cardiovascular System andá…, 2018
A POD‐selective inverse distance weighting method for fast parametrized shape morphing
F Ballarin, A D'Amario, S Perotto, G Rozza
International Journal for Numerical Methods in Engineering 117 (8), 860-884, 2019
Stabilized reduced basis methods for parametrized steady Stokes and Navier–Stokes equations
S Ali, F Ballarin, G Rozza
Computers & Mathematics with Applications 80 (11), 2399-2416, 2020
Projection-based reduced order models for a cut finite element method in parametrized domains
EN Karatzas, F Ballarin, G Rozza
arXiv preprint arXiv:1901.03846, 2019
Stabilized weighted reduced basis methods for parametrized advection dominated problems with random inputs
D Torlo, F Ballarin, G Rozza
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1475-1502, 2018
Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid--structure interaction problems
M Nonino, F Ballarin, G Rozza, Y Maday
arXiv preprint arXiv:1911.06598, 2019
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview andá…
F Salmoiraghi, F Ballarin, G Corsi, A Mola, M Tezzele, G Rozza
Proceedings of the ECCOMAS Congress 2016, 7th European Conference oná…, 2016
Reduced order methods for parametric optimal flow control in coronary bypass grafts, toward patient‐specific data assimilation
Z Zainib, F Ballarin, S Fremes, P Triverio, L JimÚnez‐Juan, G Rozza
International Journal for Numerical Methods in Biomedical Engineering 37 (12á…, 2021
1 Basic ideas and tools for projection-based model reduction of parametric partial differential equations
G Rozza, M Hess, G Stabile, M Tezzele, F Ballarin
Snapshot-Based Methods and Algorithms, 1-47, 2020
The effort of increasing Reynolds number in projection-based reduced order methods: from laminar to turbulent flows
S Hijazi, S Ali, G Stabile, F Ballarin, G Rozza
Numerical Methods for Flows, 245-264, 2020
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