Andrea Di Ronco

Andrea Di Ronco is affiliated with Politecnico di Milano's NRGroup as a Researcher, focusing on nuclear fuel modeling, Generation IV reactors, and multiphysics simulation. His R&D activities span from 2020 to present, emphasizing fuel performance codes, molten salt fast reactor (MSFR) dynamics, and code validation. He holds a PhD (2018) and MSc (2016) in Nuclear Engineering from Politecnico di Milano, with theses on fuel pin performance and MSFR system design.

His research interests include thermal-mechanical behavior of nuclear fuels, gaseous/solid fission products transport, and control-oriented modeling of nuclear reactors. He contributes to projects like SAMOFAR, addressing reactor safety, multiphysics coupling, and validation methodologies for advanced reactor concepts.

His work involves collaboration on the IFMIF-DONES project, focusing on validation activities and remote handling systems. Notable contributions include developing OpenFOAM solvers for fission product transport and applying Kalman filters for radioactive source-term estimation during accidents.

Di Ronco has co-authored over 20 peer-reviewed articles since 2016, with a focus on MSFR energy systems, heat exchanger design, and stability analysis using dynamic mode decomposition. He currently leads R&D initiatives in reactor dynamics, code validation, and nuclear fuel behavior under transient conditions.