activity
20212024
collaborators

6 papers

math.NA2024

A posteriori error analysis for a coupled Stokes-poroelastic system with multiple compartments

Ivan Fumagalli, Nicola Parolini, Marco Verani

The discretization of fluid-poromechanics systems is typically highly demanding in terms of computational effort. This is particularly true for models of multiphysics flows in the…

math.NA2024

A Virtual Element method for non-Newtonian fluid flows

P. F. Antonietti, L. Beirao da Veiga, M. Botti +2

In this paper, we design and analyze a Virtual Element discretization for the steady motion of non-Newtonian, incompressible fluids. A specific stabilization, tailored to mimic the…

math.NA2024

Structure-preserving neural networks in data-driven rheological models

Nicola Parolini, Andrea Poiatti, Julian Vene' +1

In this paper we address the importance and the impact of employing structure preserving neural networks as surrogate of the analytical physics-based models typically employed to d…

cs.CE2023

Level set-fitted polytopal meshes with application to structural topology optimization

Nicola Ferro, Stefano Micheletti, Nicola Parolini +3

We propose a method to modify a polygonal mesh in order to fit the zero-isoline of a level set function by extending a standard body-fitted strategy to a tessellation with arbitrar…

math.NA2021

-VEM for some variants of the Cahn-Hilliard equation: a numerical exploration

Paola F. Antonietti, Simone Scacchi, Giuseppe Vacca +1

We consider the -Virtual Element Method (VEM) for the conforming numerical approximation of some variants of the Cahn-Hilliard equation on polygonal meshes. In particular, we…

math.NA2021

On arbitrarily regular conforming virtual element methods for elliptic partial differential equations

Paola Francesca Antonietti, Gianmarco Manzini, Simone Scacchi +1

The Virtual Element Method (VEM) is a very effective framework to design numerical approximations with high global regularity to the solutions of elliptic partial differential equa…