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20162026
most citedDiscontinuous Galerkin Methods for Fisher-Kolmogorov Equation with Application to -Synuclein Spreading in Parkinson's Disease

27 citations · 146 across the 60 of their papers we have counts for

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Showing 2024 · math.NAShow all

9 papers · 2 filters

math.NA2024★ 2 cited

A coupled mathematical and numerical model for protein spreading and tissue atrophy, applied to Alzheimer's disease

Valentina Pederzoli, Mattia Corti, Davide Riccobelli +1

The aim of this paper is to introduce, analyse and test in practice a new mathematical model describing the interplay between biological tissue atrophy driven by pathogen diffusion…

math.NA2024

A polytopal discontinuous Galerkin method for the pseudo-stress formulation of the unsteady Stokes problem

Paola F. Antonietti, Michele Botti, Alessandra Cancrini +1

This work aims to construct and analyze a discontinuous Galerkin method on polytopal grids (PolydG) to solve the pseudo-stress formulation of the unsteady Stokes problem. The pseud…

math.NA2024

A discontinuous Galerkin method for the three-dimensional heterodimer model with application to prion-like proteins' dynamics

Paola F. Antonietti, Mattia Corti, Giacomo Lorenzon

Neurocognitive disorders, such as Alzheimer's and Parkinson's, have a wide social impact. These proteinopathies involve misfolded proteins accumulating into neurotoxic aggregates.…

math.NA2024★ 3 cited

High-order Discontinuous Galerkin Methods for the Monodomain and Bidomain Models

Federica Botta, Matteo Calafà, Pasquale C. Africa +2

This work aims at presenting a Discontinuous Galerkin (DG) formulation employing a spectral basis for two important models employed in cardiac electrophysiology, namely the monodom…

math.NA2024

Polytopal mesh agglomeration via geometrical deep learning for three-dimensional heterogeneous domains

Paola F. Antonietti, Mattia Corti, Gabriele Martinelli

Agglomeration techniques can be successfully employed to reduce the computational costs of numerical simulations and stand at the basis of multilevel algebraic solvers. To automati…

math.NA2024★ 6 cited

Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning

Matteo Caldana, Paola F. Antonietti, Luca Dede'

Finite element-based high-order solvers of conservation laws offer large accuracy but face challenges near discontinuities due to the Gibbs phenomenon. Artificial viscosity is a po…