In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

The glass transition is the most enduring grand-challenge problem in contemporary
condensed matter physics. Here, we review the contribution of colloid experiments to our …

The swap Monte Carlo algorithm combines the translational motion with the exchange of
particle species and is unprecedentedly efficient for some models of glass former. In order to …

k-core percolation is an extension of the concept of classical percolation and is particularly
relevant to understanding the resilience of complex networks under random damage. A new …

Multistate dynamical processes on networks, where nodes can occupy one of a multitude of
discrete states, are gaining widespread use because of their ability to recreate realistic …

k-core percolation is a percolation model which gives a notion of network functionality and
has many applications in network science. In analyzing the resilience of a network under …

We consider second-order phase transitions in which the order parameter is a replicated
overlap matrix. We focus on a tricritical point that occurs in a variety of mean-field models …

The mean-field theory of Kinetically-Constrained-Models is developed by considering the
Fredrickson-Andersen model on the Bethe lattice. Using certain properties of the dynamics …

Kinetic facilitated models and the Mode Coupling Theory (MCT) model B are within those
systems known to exhibit a discontinuous dynamical transition with a two step relaxation. We …

We consider the critical properties of points of the continuous glass transition that one can
find in liquids in the presence of constraints or in liquids in porous media. Through a one …