Francesco Ballarin

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Michele Girfoglio
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research

∙ 03/29/2023

Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting

In the context of simulation-based methods, multiple challenges arise, t...

0 Fabian Key, et al. ∙

research

∙ 03/25/2023

Weighted reduced order methods for uncertainty quantification in computational fluid dynamics

In this manuscript we propose and analyze weighted reduced order methods...

0 Julien Genovese, et al. ∙

research

∙ 01/29/2023

Reduced Basis, Embedded Methods and Parametrized Levelset Geometry

In this chapter we examine reduced order techniques for geometrical para...

0 Efthymios N. Karatzas, et al. ∙

research

∙ 11/26/2022

An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations

The aim of this work is to present a model reduction technique in the fr...

0 Ivan Prusak, et al. ∙

research

∙ 05/17/2022

Isogeometric Hierarchical Model Reduction for advection-diffusion process simulation in microchannels

Microfluidics proved to be a key technology in various applications, all...

0 Simona Perotto, et al. ∙

research

∙ 02/11/2022

Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning

We propose a unified data-driven reduced order model (ROM) that bridges ...

5 Teeratorn Kadeethum, et al. ∙

research

∙ 01/10/2022

Projection based semi–implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid–Structure Interaction problems

The goal of this manuscript is to present a partitioned Model Order Redu...

0 Monica Nonino, et al. ∙

research

∙ 11/16/2021

Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems

This contribution focuses on the development of Model Order Reduction (M...

0 Nirav Vasant Shah, et al. ∙

research

∙ 10/11/2021

Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows

Numerical stabilization is often used to eliminate (alleviate) the spuri...

0 Maria Strazzullo, et al. ∙

research

∙ 09/22/2021

An artificial neural network approach to bifurcating phenomena in computational fluid dynamics

This work deals with the investigation of bifurcating fluid phenomena us...

4 Federico Pichi, et al. ∙

research

∙ 04/27/2021

An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations

The choice of appropriate boundary conditions is a fundamental step in c...

0 Elisa Fevola, et al. ∙

research

∙ 04/20/2021

A monolithic and a partitioned Reduced Basis Method for Fluid-Structure Interaction problems

The aim of this work is to present a brief report concerning the various...

0 Monica Nonino, et al. ∙

research

∙ 03/05/2021

A Reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations

In the Reduced Basis approximation of Stokes and Navier-Stokes problems,...

0 Shafqat Ali, et al. ∙

research

∙ 02/28/2021

A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences

Reduced basis approximations of Optimal Control Problems (OCPs) governed...

0 Giuseppe Carere, et al. ∙

research

∙ 02/28/2021

A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation

In this work, we propose to efficiently solve time dependent parametrize...

0 Maria Strazzullo, et al. ∙

research

∙ 11/24/2020

Reduced order methods for parametric flow control problems and applications

In this contribution we propose reduced order methods to fast and reliab...

0 Francesco Ballarin, et al. ∙

research

∙ 10/26/2020

Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction

This work deals with optimal control problems as a strategy to drive bif...

0 Federico Pichi, et al. ∙

research

∙ 10/10/2020

A Reduced Order Cut Finite Element method for geometrically parameterized steady and unsteady Navier-Stokes problems

This work focuses on steady and unsteady Navier-Stokes equations in a re...

0 Efthymios N. Karatzas, et al. ∙

research

∙ 07/06/2020

Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device

Left ventricular assist devices (LVADs) are used to provide haemodynamic...

0 Michele Girfoglio, et al. ∙

research

∙ 03/21/2020

POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent Optimal Flow Control: an Application to Shallow Water Equations

In this work we propose reduced order methods as a reliable strategy to ...

0 Maria Strazzullo, et al. ∙

research

∙ 01/03/2020

Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations

It is well known in the Reduced Basis approximation of saddle point prob...

0 Shafqat Ali, et al. ∙

research

∙ 12/17/2019

Reduced order methods for parametrized non-linear and time dependent optimal flow control problems, towards applications in biomedical and environmental sciences

We introduce reduced order methods as an efficient strategy to solve par...

0 Maria Strazzullo, et al. ∙

research

∙ 11/20/2019

Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations

We provide first the functional analysis background required for reduced...

0 Gianluigi Rozza, et al. ∙

research

∙ 11/15/2019

Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid–structure interaction problems

In this work we focus on reduced order modelling for problems for which ...

0 Monica Nonino, et al. ∙

research

∙ 11/04/2019

Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation

Coronary artery bypass grafts (CABG) surgery is an invasive procedure pe...

0 Zakia Zainib, et al. ∙

research

∙ 09/20/2019

POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation

In this work we recast parametrized time dependent optimal control probl...

0 Maria Strazzullo, et al. ∙

research

∙ 09/04/2019

Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting

In this work we focus on two different methods to deal with parametrized...

0 Matteo Zancanaro, et al. ∙

research

∙ 02/15/2019

Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height

In this work we present a Reduced Basis VMS-Smagorinsky Boussinesq model...

0 Francesco Ballarin, et al. ∙