Awarded Projects

his project aims to to develop the next generation of an open-source model for Slovene called GaMS. The model will be the basis for further adaptations to specific application needs and will also be available for wider academic and industrial use.

This is project meant to support the Smart-TURB ERC AdG (2021-2026) on Machine Learning applications to Eulerian and Lagrangian Turbulence.

This is a key contribution of Lattice Field Theory to Particle Physics at the precision frontier.

The project proposes a high-statistics computation of lattice correlation functions starting from isospin-symmetric QCD and including the leading isospin-breaking effects.

The simulation results are expected to drive improvements of reduced-order models and establish a reproducible methodology for BBN predictions in a realistic strongly compressible context.

The study will develop novel generative 3D morphable shape models for both humans and objects, enabling fitting bodies and objects to images representing HOIs under occlusion featuring possibly unknown objects.

The project aims to push the studies of spectral and transport properties of the QGP.

Antarctic and Greenland ice sheets lose most of their mass by a few corridors of rapidly flowing ice.

Turbulence bounded by curved walls characterizes different applications of paramount importance for engineering applications: highly cambered airfoils, turbomachine blades and coolant channels among others.