Complex networks pervade various real-world systems, from the natural environment to
human societies. The essence of these networks is in their ability to transition and evolve …

Mechanistic dynamical models allow us to study the behavior of complex biological systems.
They can provide an objective and quantitative understanding that would be difficult to …

Dynamical networks are versatile models that describe a variety of behaviours such as
synchronisation and feedback in networks of coupled dynamical components. However …

Accurate interaction potentials between microscopic components such as colloidal particles
or cells are crucial to understanding a range of processes, including colloidal crystallization …

The first step toward advancing our understanding of complex networks involves
determining their connectivity structures from the time series data. These networks are often …

The energy system is undergoing rapid changes to integrate a growing number of
intermittent renewable generators and facilitate the broader transition toward sustainability …

We report here a series of detailed statistical analyses on the sea level variations in the Port
of Trieste using one of the largest existing catalogues that covers more than a century of …