We introduce a new class of Discontinuous Galerkin (DG) methods for solv...
Particle methods based on evolving the spatial derivatives of the soluti...
We introduce a new family of high order accurate semi-implicit schemes f...
In this paper, a multiscale constitutive framework for one-dimensional b...
With the rapid advance of Machine Learning techniques and the deep incre...
When investigating epidemic dynamics through differential models, the
pa...
Uncertainty in data is certainly one of the main problems in epidemiolog...
In this paper we introduce a space-dependent multiscale model to describ...
The importance of spatial networks in the spread of an epidemic is an
es...
A noteworthy aspect in blood flow modeling is the definition of the
mech...
We consider the development of hyperbolic transport models for the
propa...
This work aims at identifying and quantifying uncertainties related to
e...