Stefano Passoni

Stefano Passoni is a Researcher at Politecnico di Milano's NRGroup, focusing on nuclear engineering and computational fluid dynamics (CFD). His R&D spans since 2016, covering fuel performance modeling, GenIV reactors (e.g., MSR, LFR), compact heat exchangers, and reduced-order models. He holds a PhD (2018) and MSc (2013) from Politecnico di Milano, with thesis topics on nuclear fuel behavior and lead-cooled fast reactors.

His research interests emphasize CFD applications in multiphase flow analysis, nuclear reactor thermal-hydraulics, and energy systems optimization. Recent work involves machine learning integration for void fraction estimation and experimental validation of compact heat exchangers. He advises multiple PhD/MSc students and collaborates on projects like the ELSMOR initiative.

No scientific awards explicitly mentioned. His contributions include prototyping oxygen separation membranes and advancing wind turbine aerodynamics through CFD modeling. Active in NRGroup's R&D since 2016, he leads teams in GenIV reactor modeling and computational methods development.