PEDRONI, NICOLA

PEDRONI, NICOLA  

Dipartimento Energia  

044224  

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Early warning in Molten Salt Fast Reactors based on a data-driven method for the online incident detection and diagnosis / Abrate, N., Pedroni, N., Caruso, N., Dulla, S., Lorenzi, S.. - In: NUCLEAR ENGINEERING AND DESIGN. - ISSN 0029-5493. - ELETTRONICO. - 446:(2026). [10.1016/j.nucengdes.2025.114581] 1-gen-2026 Abrate, N.Pedroni, N.Dulla, S.Lorenzi, S. + Abrate+-+2026+-+Early+warning+in+Molten+Salt+Fast+Reactors+based+on+a+data-driven+method+for+the+online+incident+det_compressed.pdf
Enhancing the Resilience and Sustainability of Integrated Energy Systems Exposed to Extreme Natural Hazards by Means of Artificial Intelligence, Advanced Simulation, and Optimization Methods, Within an Integrative Systems Framework: A Critical Review of Literature / Hallioui, A.; Pedroni, N.. - In: ENERGIES. - ISSN 1996-1073. - 19:4(2026). [10.3390/en19040957] 1-gen-2026 Hallioui A.Pedroni N. energies-19-00957-v2.pdf
An empirical method for inverse uncertainty quantification in nuclear thermal–hydraulic codes / Bersano, A.; Di Maio, F.; Zio, E.; Pedroni, N.; Mascari, F.. - In: NUCLEAR ENGINEERING AND DESIGN. - ISSN 0029-5493. - ELETTRONICO. - 445:(2025). [10.1016/j.nucengdes.2025.114483] 1-gen-2025 Di Maio F.Zio E.Pedroni N. + NED_2025_empirical method for IUQ in nuclear thermal hydraulic codes_JournalFinal_Small.pdfBEPU24_NED_R1_v4.pdf
Ensembles of physics-enhanced neural networks for the prediction of critical heat flux in nuclear reactors and the quantification of its uncertainty / Pedroni, N.. - In: FRONTIERS IN NUCLEAR ENGINEERING. - ISSN 2813-3412. - ELETTRONICO. - 4:(2025). [10.3389/fnuen.2025.1692182] 1-gen-2025 Pedroni N. PENNs_CHF_Frontiers_Final_Journal_2025.pdf
Federal–State Perspective Desalignment as an Emerging Meta-System Pathology in U.S. Climate Governance: A Conceptual Framework, Implications, and Recommendations / Hallioui, A.; Pedroni, N.; Katina, P. F.; Masera, M.. - In: SYSTEMS. - ISSN 2079-8954. - ELETTRONICO. - 13:11(2025), p. 966. [10.3390/systems13110966] 1-gen-2025 Hallioui A.Pedroni N.Masera M. + systems-13-00966.pdf
A systematic approach for the adequacy analysis of a set of experimental databases: Application in the framework of the ATRIUM activity / Baccou, J.; Glantz, T.; Ghione, A.; Sargentini, L.; Fillion, P.; Damblin, G.; Sueur, R.; Iooss, B.; Fang, J.; Liu, J.; Yang, C.; Zheng, Y.; Ui, A.; Saito, M.; Mendizabal Sanz, R.; Bersano, A.; Mascari, F.; Skorek, T.; Tiborcz, L.; Hirose, Y.; Takeda, T.; Nakamura, H.; Choi, C.; Heo, J.; Petruzzi, A.; Zeng, K.; Xie, Z.; Wu, X.; Eguchi, H.; Pangukir, F.; Breijder, P.; Franssen, S.; Perret, G.; Clifford, I. D.; Coscia, T. M.; Di Maio, F.; Zio, E.; Pedroni, N.; Zhang, J.; Freixa, J.; Rizzo, F.; Ciurluini, C.; Giannetti, F.; Adorni, M.. - In: NUCLEAR ENGINEERING AND DESIGN. - ISSN 0029-5493. - ELETTRONICO. - 421:(2024), p. 113035. [10.1016/j.nucengdes.2024.113035] 1-gen-2024 Pedroni N. + NED_2024_ATRIUM_Systematic approach for the adequacy analysis of a set of experimental databases.pdf
AN EMPIRICAL METHOD FOR INVERSE UNCERTAINTY QUANTIFICATION IN CRITICAL FLOW SIMULATION / Bersano, Andrea; Di Maio, Francesco; Zio, Enrico; Pedroni, Nicola; Mascari, Fulvio. - ELETTRONICO. - (2024). ( Best Estimate Plus Uncertainty (BEPU) 2024 Conference Lucca (Italy) May 19-24, 2024). 1-gen-2024 Di Maio, FrancescoZio, EnricoPedroni, Nicola + -
ARtificial Intelligence and STOchasTic Simulation for the rEsiLience of Critical InfrastructurES (ARISTOTELES) / Di Maio, F.; Pedroni, N.; Taroni, M.; Zio, E.. - ELETTRONICO. - (2024), pp. 482-486. ( 2024 8th International Conference on System Reliability and Safety (ICSRS) Catania (Italy) 20-22 November 2024) [10.1109/ICSRS63046.2024.10927422]. 1-gen-2024 Di Maio F.Pedroni N.Zio E. + -
Divertor Tokamak Test facility project: status of design and implementation / Romanelli, F., Abate, D., Acampora, E., Agguiaro, D., Agnello, R., Agostinetti, P., Agostini, M., Aimetta, A., Albanese, R., Alberti, G., Albino, M., Alessi, E., Almaviva, S., Alonzo, M., Ambrosino, R., Andreoli, P., Angelone, M., Angelucci, M., Angioni, C., Angrisani Armenio, A., et al.. - In: NUCLEAR FUSION. - ISSN 0029-5515. - 64:11(2024). [10.1088/1741-4326/ad5740] 1-gen-2024 Bojoi R.Bonifetto R.Carpignano A.D'Ambrosio D.Dulla S.Emanuelli E.Gajetti E.Griva G.Lisanti F.Mandrile F.Marsilio R.Mauro S.Milanesio D.Musumeci S.Pedroni N.Rubino S.Subba F.Testoni R.Zanino R.Zavarise G.Zucchetti M. + Romanelli_2024_Nucl._Fusion_64_112015.pdf
Global Sensitivity Analysis for Segmented Inverse Uncertainty Quantification in the Safety Analysis of Nuclear Power Plants / Di Maio, F.; Matteo Coscia, T.; Pedroni, N.; Bersano, A.; Mascari, F.; Zio, E.. - In: ANNALS OF NUCLEAR ENERGY. - ISSN 0306-4549. - ELETTRONICO. - 208:(2024). [10.1016/j.anucene.2024.110791] 1-gen-2024 Pedroni N. + Annals_2024_Final_Global+SA+Segmented+IUQ+Safety+Analysis+NPPs_compressed.pdf
A non-intrusive reduced order model for the characterisation of the spatial power distribution in large thermal reactors / Abrate, Nicolo; Dulla, Sandra; Pedroni, Nicola. - In: ANNALS OF NUCLEAR ENERGY. - ISSN 0306-4549. - ELETTRONICO. - 184:(2023), p. 109674. [10.1016/j.anucene.2022.109674] 1-gen-2023 Nicolo AbrateSandra DullaNicola Pedroni 1-s2.0-S0306454922007046-main(1).pdfA_non_intrusive_reduced_order_model_for_the_spatial_stability_analysis_of_large_thermal_reactors(1)_compressed.pdf
A novel approach combining bootstrapped non-intrusive reduced order models and unscented transform for the robust and efficient CFD analysis of accidental gas releases in congested plants / Abrate, Nicolo'; Pedroni, Nicola; Moscatello, Alberto; Carpignano, Andrea; Carbone, Federica; Maffia, Manuela; Ledda, Gianmario. - In: JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES. - ISSN 1873-3352. - 83:(2023), pp. 1-17. [10.1016/j.jlp.2023.105015] 1-gen-2023 Abrate NicoloNicola PedroniAlberto MoscatelloAndrea CarpignanoGianmario Ledda + ROM_SB_JLOSS_review_1.pdf1-s2.0-S0950423023000451-main.pdf
Nuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design / Abrate, Nicolo’; Aimetta, Alex; Dulla, Sandra; Pedroni, Nicola. - In: NUCLEAR SCIENCE AND ENGINEERING. - ISSN 0029-5639. - ELETTRONICO. - (2023), pp. 1-23. [10.1080/00295639.2023.2190861] 1-gen-2023 Nicolo’ AbrateAlex AimettaSandra DullaNicola Pedroni UQ_MSFR.pdfNuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design(1).pdf
Nuclear Systems Safety Analysis by Artificial Intelligence, Meta-Modeling and Adaptive Simulation / Di Maio, Francesco; Pedroni, Nicola; Zio, Enrico. - ELETTRONICO. - (2023), pp. 1-1. ( PSAM 2023 Topical Conference on AI and Risk Analysis for Probabilistic Safety/Security Assessment and Management Urbana-Champaign (Illinois, USA) October 23-25, 2023). 1-gen-2023 Di Maio, FrancescoPedroni, NicolaZio, Enrico rev_Nuclear Systems Safety Analysis by Artificial Intelligence Meta-Modeling and Adaptive Simulation - v2.pdf
Robust Ensemble of Computational Techniques for the Detection of Outliers in the Inverse Uncertainty Quantification with Limited Data / Pedroni, Nicola. - ELETTRONICO. - (2023), pp. 19647-19647. ( UNCECOMP 2023 5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering Athens, Greece 12-14 June 2023). 1-gen-2023 Pedroni, Nicola Final_19647.pdf
Stacked Sparse Autoencoders and Classical Artificial Neural Networks for the Inverse Uncertainty Quantification of Dynamic Engineering Systems Models / Pedroni, Nicola. - ELETTRONICO. - (2023), pp. 1-8. ( 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14) Dublino 9-13 July 2023). 1-gen-2023 Pedroni, Nicola ICASP14_Pedroni_102 - v2 - WebsitePublished.pdf
Computational methods for the robust optimization of the design of a dynamic aerospace system in the presence of aleatory and epistemic uncertainties / Pedroni, N.. - In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING. - ISSN 0888-3270. - ELETTRONICO. - 164:(2022), p. 108206. [10.1016/j.ymssp.2021.108206] 1-gen-2022 Pedroni N. Pedroni_NASA_Challenge_Optimization_MSSP_2022.pdfR1_Pedroni_NASA_Uncertainty_Optimization_CLEAN.pdf
Identification of the Postulated Initiating Events of Accidents of a CPS-Based Liquid Metal Divertor for the EU DEMO Fusion Reactor / Uggenti, A.C., Nallo, G.F., Carpignano, A., Pedroni, N., Zanino, R.. - In: FUSION SCIENCE AND TECHNOLOGY. - ISSN 1536-1055. - ELETTRONICO. - (2022), pp. 1-13. [10.1080/15361055.2021.1984720] 1-gen-2022 Uggenti, A. C.Nallo, G. F.Carpignano, A.Pedroni, N.Zanino, R. Uggenti_2022_LMD_safety_editorial.pdfLMD_safety_paper_v8_postReview.pdf
Passive safety systems analysis: A novel approach for inverse uncertainty quantification based on Stacked Sparse Autoencoders and Kriging metamodeling / Roma, G.; Antonello, F.; Di Maio, F.; Pedroni, N.; Zio, E.; Bersano, A.; Bertani, C.; Mascari, F.. - In: PROGRESS IN NUCLEAR ENERGY. - ISSN 0149-1970. - ELETTRONICO. - 148:(2022), p. 104209. [10.1016/j.pnucene.2022.104209] 1-gen-2022 Di Maio F.Pedroni N.Zio E.Bertani C. + Progress_Final_Passive safety systems analysis_A novel approach for inverse uncertainty Autoencoders_Kriging.pdfR1_FDM_EZ_ novel approach for Inverse Uncertainty Quantification based on Stacked Sparse Autoencoders and Kriging_AB_FM.pdf
A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems / Roma, G.; Di Maio, F.; Bersano, A.; Pedroni, N.; Bertani, C.; Mascari, F.; Zio, E.. - In: NUCLEAR ENGINEERING AND DESIGN. - ISSN 0029-5493. - ELETTRONICO. - 379:(2021), p. 111230. [10.1016/j.nucengdes.2021.111230] 1-gen-2021 Bersano A.Pedroni N.Bertani C.Zio E. + NED_A Bayesian framework of inverse uncertainty quantification with PCA.pdfR1_Inverse uncertainty quantification.pdf