Pubblicazioni

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

2025 - ANNALS OF NUCLEAR ENERGY

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.; BerdaÃ¯, 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.

Nuclear safety Enhanced: A Deep dive into current and future RAVEN applications

2024 - NUCLEAR ENGINEERING AND DESIGN

D'Onorio, Matteo; Glingler, Tommaso; Molinari, Martina; Maccari, Pietro; Mascari, Fulvio; Mandelli, Diego; Alfonsi, Andrea; Caruso, Gianfranco

Aircraft Design with Well-to-Wake Optimization Under Uncertainty

2024 - AIAA AVIATION FORUM AND ASCEND 2024

Blandino, M.; Molinari, M. M.; Liberatori, J.; Ciottoli, P. P.; Galassi, R. M.

Effect of parametric uncertainty in numerical simulations of a hydrogen-fueled flameless combustion furnace using dimensionality reduction and non-linear regression

2024 - PROCEEDINGS OF THE COMBUSTION INSTITUTE

Amaduzzi, R.; Procacci, A.; Piscopo, A.; Malpica Galassi, R.; Parente, A.

Hybrid Uncertainty Analysis ofÂ Damage Indexes Based onÂ Modal Strain Energy

2024 - Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024)

Dessi, Daniele; Passacantilli, Fabio; Venturi, Andrea

Uncertainty quantification analysis of RANS of spray swirling jets undergoing vortex breakdown

2023 - Mediterranean Combustion Symposium

Liberatori, Jacopo; MALPICA GALASSI, Riccardo; Valorani, Mauro; Ciottoli, Pietro Paolo

Unsteady RANS simulations with uncertainty quantification of a spray combustor under liquid rocket engine relevant conditions

2023 - AIAA Scitech 2023 Forum

Cavalieri, Davide; Liberatori, Jacopo; MALPICA GALASSI, Riccardo; Lapenna, Pasquale E.; Valorani, Mauro; Ciottoli, Pietro Paolo

Uncertainty quantification for a severe accident sequence in a SFP in the frame of the H-2020 project MUSA: First outcomes

2023 - ANNALS OF NUCLEAR ENERGY

Coindreau, O; Herranz, Le; Bocanegra, R; Ederli, S; Maccari, P; Mascari, F; Cherednichenko, O; Iskra, A; Groudev, P; Vryashkova, P; Petrova, P; Kaliatka, A; Vileinis, V; Malicki, M; Lind, T; Kotsuba, O; Ivanov, I; Giannetti, F; D'Onorio, M; Ou, P; Feiye, L; Piluso, P; Pontillon, Y; Nudi, M

Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor

2023 - INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Savarese, M.; Giuntini, L.; Malpica Galassi, R.; Iavarone, S.; Galletti, C.; De Paepe, W.; Parente, A.

Adversarial Attacks Against Uncertainty Quantification

2023 - Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023

Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio

Trustworthy AI in Video Surveillance: The IMMAGINA Project

2023 - Proceedings of the Italia Intelligenza Artificiale - Thematic Workshopsco-located with the 3rd {CINI} National Lab {AIIS} Conference on ArtificialIntelligence (Ital {IA} 2023), Pisa, Italy, May 29-30, 2023

Ledda, Emanuele; Putzu, Lorenzo; Delussu, Rita; Fumera, Giorgio; Roli, Fabio

Uncertainty quantification analysis of Reynolds-averaged NavierâStokes simulation of spray swirling jets undergoing vortex breakdown

2023 - INTERNATIONAL JOURNAL OF SPRAY AND COMBUSTION DYNAMICS

Liberatori, Jacopo; Galassi, Riccardo M.; Valorani, Mauro; Ciottoli, Pietro P.

Impact of scalar mixing uncertainty on the predictions of reactor-based closures: Application to a lifted methane/air jet flame

2022 - PROCEEDINGS OF THE COMBUSTION INSTITUTE

Amaduzzi, R.; Bertolino, A.; Ozden, A.; Malpica Galassi, R.; Parente, A.

Chapter 12: Weighted Reduced Order Methods for Uncertainty Quantification

2022 - Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics

Torlo, D; Strazzullo, M; Ballarin, F; Rozza, G

Preliminary uncertainty quantification of the core degradation models in predicting the Fukushima Daiichi unit 3 severe accident

2021 - NUCLEAR ENGINEERING AND DESIGN

D'Onorio, M.; Giampaolo, A.; Caruso, G.; Giannetti, F.

Ricerc@Sapienza

Pubblicazioni

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

Nuclear safety Enhanced: A Deep dive into current and future RAVEN applications

Aircraft Design with Well-to-Wake Optimization Under Uncertainty

Effect of parametric uncertainty in numerical simulations of a hydrogen-fueled flameless combustion furnace using dimensionality reduction and non-linear regression

Hybrid Uncertainty Analysis ofÂ Damage Indexes Based onÂ Modal Strain Energy

Uncertainty quantification analysis of RANS of spray swirling jets undergoing vortex breakdown

Unsteady RANS simulations with uncertainty quantification of a spray combustor under liquid rocket engine relevant conditions

Uncertainty quantification for a severe accident sequence in a SFP in the frame of the H-2020 project MUSA: First outcomes

Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor

Adversarial Attacks Against Uncertainty Quantification

Trustworthy AI in Video Surveillance: The IMMAGINA Project

Uncertainty quantification analysis of Reynolds-averaged NavierâStokes simulation of spray swirling jets undergoing vortex breakdown

Impact of scalar mixing uncertainty on the predictions of reactor-based closures: Application to a lifted methane/air jet flame

Chapter 12: Weighted Reduced Order Methods for Uncertainty Quantification

Preliminary uncertainty quantification of the core degradation models in predicting the Fukushima Daiichi unit 3 severe accident

A technique for the analysis of radio occultation data to retrieve atmospheric properties and associated uncertainties

Uncertainty quantification in RANS prediction of LOX cross-flow injection in methane

Uncertainty quantification in RANS of LOX-CH4 pintle injector

Uncertainty quantification in RANS of LOX-CH4 pintle injector

uncertainty quantification analysis of RANS of spray swirling jets

Spectral methods to study the robustness of residual neural networks with infinite layers

Hybrid stochastic kinetic description of two-dimensional traffic dynamics

Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs

Chemical model reduction under uncertainty