Francesco Ballarin
Orcid: 0000-0001-6460-3538
According to our database1,
Francesco Ballarin
authored at least 48 papers
between 2014 and 2023.
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Bibliography
2023
An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations.
Comput. Math. Appl., December, 2023
Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters.
J. Sci. Comput., 2023
Projection Based Semi-Implicit Partitioned Reduced Basis Method for Fluid-Structure Interaction Problems.
J. Sci. Comput., 2023
Projection-based reduced order modeling of an iterative coupling scheme for thermo-poroelasticity.
CoRR, 2023
CoRR, 2023
New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime.
CoRR, 2023
Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting.
CoRR, 2023
Weighted reduced order methods for uncertainty quantification in computational fluid dynamics.
CoRR, 2023
2022
POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations.
J. Num. Math., 2022
Isogeometric Hierarchical Model Reduction for advection-diffusion process simulation in microchannels.
CoRR, 2022
Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds.
CoRR, 2022
Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems.
CoRR, 2022
A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier-Stokes problems.
Comput. Math. Appl., 2022
2021
Multiscale Model. Simul., 2021
Enriched Galerkin discretization for modeling poroelasticity and permeability alteration in heterogeneous porous media.
J. Comput. Phys., 2021
A locally conservative mixed finite element framework for coupled hydro-mechanical-chemical processes in heterogeneous porous media.
Comput. Geosci., 2021
Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems.
CoRR, 2021
Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows.
CoRR, 2021
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics.
CoRR, 2021
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques.
CoRR, 2021
An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.
CoRR, 2021
A monolithic and a partitioned Reduced Basis Method for Fluid-Structure Interaction problems.
CoRR, 2021
CoRR, 2021
A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation.
CoRR, 2021
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation.
CoRR, 2021
A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences.
Comput. Math. Appl., 2021
2020
POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation.
J. Sci. Comput., 2020
CoRR, 2020
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction.
CoRR, 2020
A Reduced Order Cut Finite Element method for geometrically parameterized steady and unsteady Navier-Stokes problems.
CoRR, 2020
Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device.
CoRR, 2020
Projection-based reduced order models for a cut finite element method in parametrized domains.
Comput. Math. Appl., 2020
Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height.
Comput. Math. Appl., 2020
Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations.
Comput. Math. Appl., 2020
2019
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations.
CoRR, 2019
Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid-structure interaction problems.
CoRR, 2019
Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation.
CoRR, 2019
Adv. Comput. Math., 2019
Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019
2018
Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering.
SIAM J. Sci. Comput., 2018
Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs.
SIAM/ASA J. Uncertain. Quantification, 2018
2017
SIAM J. Numer. Anal., 2017
2016
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization.
J. Comput. Phys., 2016
Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes.
Adv. Model. Simul. Eng. Sci., 2016
2014
Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows.
J. Sci. Comput., 2014