Modelling contagious viral dynamics: a kinetic approach based on mutual utility

Modeling opinion polarization on social media: Application to Covid-19 vaccination hesitancy in Italy

An adaptive consensus based method for multi-objective optimization with uniform {P}areto front approximation

Consensus based optimization with memory effects: random selection and applications

Locally structure-preserving div-curl operators for high order discontinuous Galerkin schemes

Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties

Global high-order numerical schemes for the time evolution of the general relativistic radiation magneto-hydrodynamics equations

Constrained consensus-based optimization

Multiscale Constitutive Framework of One-Dimensional Blood Flow Modeling: Asymptotic Limits and Numerical Methods

L’esitazione vaccinale tra scompenso informativo, terrorismo mediatico e semi-complottismo. Un’indagine empirica

Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties

Asymptotic-Preserving Neural Networks for Multiscale Hyperbolic Models of Epidemic Spread

Mean-field control variate methods for kinetic equations with uncertainties and applications to socioeconomic sciences

Moment preserving Fourier-Galerkin spectral methods and application to the Boltzmann equation

Spreading of fake news, competence and learning: kinetic modelling and numerical approximation

Binary interaction methods for high dimensional global optimization and machine learning

A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs

Anisotropic diffusion in consensus-based optimization on the sphere

From agent-based models to the macroscopic description of fake-news spread: the role of competence in data-driven applications

On the construction of conservative semi-Lagrangian IMEX advection schemes for multiscale time dependent PDEs