Conveners
Session 5
- Michele Caselle (TO)
In many real-world systems, successfully represented as networks, interactions are not limited to dyads, but often involve three or more nodes at a time. Under this condition, a better description of the system is given by hypergraphs, where hyperlinks encode higher-order interactions among a group of nodes. We discuss an analytic and computational approach to filter hypergraphs by identifying...
In recent years, data assimilation, and more generally the climate science modelling enterprise have been influenced by the rapid advent of artificial intelligence, in particular machine learning (ML), opening the path to various form of ML-based methodology.
In this talk we will schematically show how ML can be included in the prediction and DA workflow in three different ways. First, in a...
In this talk I will review recent progress and open challenges of nonperturbative calculations on the lattice. I will discuss novel mathematical approaches, improved numerical algorithms, and unresolved issues covering several aspects of the strong interaction phenomenology.
We study the turbulent dynamics of a 2D quantum fluid of exciton-polaritons, hybrid light-matter quasiparticles, by measuring the kinetic energy spectrum and the onset of vortex clustering. We demonstrate that the formation of clusters of quantum vortices is triggered by the increase of the incompressible kinetic energy per vortex, showing the tendency of the vortex-gas towards highly excited...
