16 citations · 19 across the 9 of their papers we have counts for
9 papers
Control of Overpopulated Tails in Kinetic Epidemic Models
Mattia Zanella, Andrea Medaglia
We introduce model-based transition rates for controlled compartmental models in mathematical epidemiology, with a focus on the effects of control strategies applied to interacting…
Uncertainty quantification for charge transport in GNRs through particle Galerkin methods for the semiclassical Boltzmann equation
Andrea Medaglia, Giovanni Nastasi, Vittorio Romano +1
In this article, we investigate some issues related to the quantification of uncertainties associated with the electrical properties of graphene nanoribbons. The approach is suited…
Uncertainty Quantification for the Homogeneous Landau-Fokker-Planck Equation via Deterministic Particle Galerkin methods
Rafael Bailo, José Antonio Carrillo, Andrea Medaglia +1
We design a deterministic particle method for the solution of the spatially homogeneous Landau equation with uncertainty. The deterministic particle approximation is based on the r…
Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data
Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella
The design of particle simulation methods for collisional plasma physics has always represented a challenge due to the unbounded total collisional cross section, which prevents a n…
On the optimal control of kinetic epidemic models with uncertain social features
Jonathan Franceschi, Andrea Medaglia, Mattia Zanella
It is recognized that social heterogeneities in terms of the contact distribution have a strong influence on the spread of infectious diseases. Nevertheless, few data are available…
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties
Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella
The study of uncertainty propagation is of fundamental importance in plasma physics simulations. To this end, in the present work we propose a novel stochastic Galerkin (sG) partic…
Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties
Andrea Medaglia, Andrea Tosin, Mattia Zanella
In this paper, we focus on the construction of a hybrid scheme for the approximation of non-Maxwellian kinetic models with uncertainties. In the context of multiagent systems, the…
Kinetic and macroscopic epidemic models in presence of multiple heterogeneous populations
Andrea Medaglia, Mattia Zanella
We study the impact of contact heterogeneity on epidemic dynamics. A system characterized by multiple susceptible populations is considered. The description of the spread of an inf…
Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties
Andrea Medaglia, Giulia Colelli, Lisa Farina +6
In this work, we develop a kinetic model of tumour growth taking into account the effects of clinical uncertainties characterising the tumours' progression. The action of therapeut…