Michela Angelucci

Publications

• Hybrid neural network and statistical forecasting methodology for predictive monitoring and residual useful life estimation in nuclear power plant components (Cancemi, S. A.; Angelucci, M.; Chierici, A.; Paci, S.; Lo Frano, R. - 2025 - 1.1 Articolo in rivista)
• Inverse uncertainty Quantification in the Severe accident Domain: Application to Fission Product release (Tinfena, G.; Angelucci, M.; Sargentini, L.; Paci, S.; Herranz, L. E. - 2025 - 1.1 Articolo in rivista)
• HPC modelling for nuclear safety assessment (Cancemi, S A; Lo Frano, R; Angelucci, M; Pucciarelli, A; Subba, F; Wu, H - 2025 - 4.1 Contributo in Atti di convegno)
• The Effect of Backfill Gas Pressure on the Thermal Response of a Dry Cask for Spent Nuclear Fuel (Angelucci, Michela; Cancemi, Salvatore A.; LO FRANO, Rosa; Paci, Sandro - 2025 - 1.1 Articolo in rivista)
• Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package (Brumm, S.; Gabrielli, F.; Sanchez Espinoza, V.; Stakhanova, A.; Groudev, P.; Petrova, P.; Vryashkova, P.; Ou, P.; Zhang, W.; Malkhasyan, A.; Herranz, L. E.; Iglesias Ferrer, R.; Angelucci, M.; Berdai, M.; Mascari, F.; Agnello, G.; Sevbo, O.; Iskra, A.; Martinez Quiroga, V.; Nudi, M.; Hoefer, A.; Pauli, E. -M.; Beck, S.; Tiborcz, L.; Coindreau, O.; Clark, G.; Lamont, I.; Zheng, X.; Kubo, K.; Lee, B.; Valincius, M.; Malicki, M.; Lind, T.; Vorobyov, Y.; Kotsuba, O.; Di Giuli, M.; Ivanov, I.; D'Onorio, M.; Giannetti, F.; Sevon, T. - 2025 - 1.1 Articolo in rivista)
• APPLICATION OF SENSITIVITY ANALYSIS TECHNIQUES TO A LOW DIMENTIONAL PROBLEM IN THE FRAME OF SEVERE ACCIDENTS (Angelucci, M.; Paci, S.; Cancemi, S. A.; Lo Frano, R. - 2024 - 4.1 Contributo in Atti di convegno)
• ANALYSIS OF THE DYNAMIC BEHAVIOUR OF A NUCLEAR CONTAINMENT STRUCTURE UNDER MISSILE IMPACT (Lo Frano, R; Cancemi, S. A.; Angelucci, M.; Pugliese, G. - 2024 - 4.1 Contributo in Atti di convegno)
• Surrogate Modeling Advancements in Nuclear Fuel Engineering: Bridging the Gap Between Accuracy and Efficiency (Cancemi, S. A.; Angelucci, M.; Lo Frano, R.; Paci, S. - 2024 - 4.1 Contributo in Atti di convegno)
• NEURAL NETWORK-DRIVEN METHODOLOGY FOR PREDICTIVE HEALTH MONITORING AND AGING MANAGEMENT IN NUCLEAR POWER PLANT OPERATIONS (Cancemi, S. A.; Angelucci, M.; Lo Frano, R.; Paci, S. - 2024 - 4.1 Contributo in Atti di convegno)
• MELCOR – DAKOTA coupling for uncertainty analyses in the SNAP environment/architecture (Mascari, F.; Bersano, A.; Agnello, G.; Angelucci, M.; Phillips, J.; Luxat, D. - 2024 - 1.1 Articolo in rivista)

All publications by Michela Angelucci on ARPI, the Research Archive of the University of Pisa