Matteo Fasano

Molecular modelling of high-entropy alloys: from quantum to atomistic, and machine learning

Abstract High-entropy alloys (HEAs), characterized by complex multielement compositions, offer broad opportunities to tune mechanical, corrosion, thermal, wetting, and functional properties, while their vast configurational space makes molecular modelling essential. This review e...

Leveraging genetic programming to analyze heat transfer and pressure drop characteristics in open-cell metal foams

A numerical analysis of pressure drops and heat transfer characteristics in open-cell metal foams is presented, and predictive correlations relating thermo-fluid-dynamic performance to foam topology and flow conditions are proposed. The new possibilities offered by additive manuf...