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

A multiscale constitutive framework of computational blood flow modeling

Multiscale Constitutive Framework of Blood Flow: Modeling and Numerics

A bi-fidelity collocation approach for kinetic epidemic models with random inputs

Frontiers in industrial and applied mathematics : FIAM-2021, Punjab, India, December 21–22

Computational blood flow modeling: A multiscale constitutive framework

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

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

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

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

Constrained consensus-based optimization

Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties

Consensus based optimization with memory effects: random selection and applications

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

Kinetic Modelling of Epidemic Dynamics: Social Contacts, Control with Uncertain Data, and Multiscale Spatial Dynamics

The value of viscoelasticity in computational hemodynamics: Uncertainty quantification and comparison with in-vivo data

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