METHODOLOGIES TO GUIDE CONSUMERS TOWARDS A HEALTHY AND SUSTAINABLE MEDITERRANEAN DIET

Unraveling the role of topology in complex long range systems and deep neural networks

Questa ricerca approfondisce due ambiti principali: le proprietà critiche dei sistemi a lungo raggio e i meccanismi di apprendimento delle caratteristiche nelle reti neurali profonde.Nello studio dei sistemi a lungo raggio, abbiamo esaminato il modello di Ising ferromagnetico in una e due dimensioni, caratterizzato da interazioni della forma $J_{ij}\propto r_{ij}^{-(d+\sigma)}$. Utilizzando una nuova dinamica locale su una rete di Lévy dinamica (DLL), siamo stati in grado di riprodurre gli es...

The statistical characterization of glass strength: from the micro- to the macro-mechanical response

This work discusses an innovative micromechanically-motivated statistical characterization of the strength of annealed and heat-treated glass, with the aim of achieving a reliable definition of the mechanical properties of this material for structural applications also taking into account the effects of natural aging, thus avoiding either unsafe or redundant design. The 2-parameter Weibull distribution, based upon the weakest-link-in-the-chain model, is by far the most common statistics to...

Constraining Standard and Beyond-ΛCDM Cosmologies with the Large-Scale Structure: An Effective-Field-Theory Approach to Analytical and Numerical Modeling

The next generation of cosmological surveys---including Euclid, DESI, and the Rubin Observatory---will map the large-scale structure (LSS) of the Universe with unprecedented precision, offering the opportunity to test the standard cosmological model at sub-percent accuracy and to probe possible extensions beyond $\Lambda$CDM. Extracting reliable constraints on fundamental physics from this data requires theoretical models that are both analytically controllable and numerically efficient acros...