RIVA, STEFANO

RIVA, STEFANO  

DIPARTIMENTO DI ENERGIA  

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Risultati 1 - 20 di 25 (tempo di esecuzione: 0.035 secondi).
Titolo Data di pubblicazione Autori File
A finite element implementation of the incompressible Schrödinger flow method 1-gen-2024 Riva, StefanoIntroini, CarolinaCammi, Antonio
A Novel Approach for Parametric Dynamic Mode Decomposition: Application to the DYNASTY Experimental Facility 1-gen-2024 Stefano RivaAndrea MissagliaCarolina IntroiniCammi Antonio +
Advection-Diffusion of Scalars with the Incompressible Schrödinger Flow 1-gen-2024 Stefano RivaIntroini CarolinaCammi Antonio +
An Alternative Approach for Group Constants Regression Based on Supervised Learning Techniques 1-gen-2024 Lorenzo LoiStefano RivaCarolina IntroiniEnrico PadovaniAntonio CammiFrancesca Giacobbo
Analysis of KRUSTY reactor behaviour with OFELIA environment 1-gen-2024 Boccelli RiccardoLoi LorenzoStefano RivaIntroini CarolinaLorenzi StefanoCammi Antonio
Application of a non-intrusive reduced order modeling approach to magnetohydrodynamics 1-gen-2024 Lo Verso, M.Riva, S.Introini, C.Cervi, E.Giacobbo, F.Cammi, A. +
Data-driven model order reduction for sensor positioning and indirect reconstruction with noisy data: Application to a Circulating Fuel Reactor 1-gen-2024 Cammi, AntonioRiva, StefanoIntroini, CarolinaLoi, LorenzoPadovani, Enrico
FEniCSx-OpenMC Coupling for Neutronic Calculation with Temperature Feedback 1-gen-2023 Stefano RivaLorenzo LoiCarolina IntroiniAntonio Cammi
Hybrid data assimilation methods, Part I: Numerical comparison between GEIM and PBDW 1-gen-2023 Riva S.Introini C.Lorenzi S.Cammi A.
Hybrid Data Assimilation methods, Part II: Application to the DYNASTY experimental facility 1-gen-2023 Riva, StefanoIntroini, CarolinaLorenzi, StefanoCammi, Antonio
Hybrid Data Assimilation methods: application to the DYNASTY experimental facility 1-gen-2022 S. RivaA. CammiC. IntroiniS. Lorenzi
Impact of Malfunctioning Sensors on Data-Driven Reduced Order Modelling: Application to Molten Salt Reactors 1-gen-2024 Riva, StefanoIntroini, CarolinaZio, EnricoCammi, Antonio
Inclusion of the buoyancy forces in the Incompressible Schrödinger Flow algorithm to simulate inviscid fluids 1-gen-2024 Riva StefanoIntroini CarolinaMarocco LucaCammi Antonio +
Indirect Field Reconstruction and Sensor Positioning in Circulating Fuel Reactors using Data-Driven Model Order Reduction 1-gen-2023 A. CammiS. RivaC. IntroiniL. LoiE. Padovani
Inviscid fluid simulation through Incompressible Schrödinger Flow method: a Finite Element approach 1-gen-2022 Stefano RivaAntonio CammiCarolina Introini
Learning the dynamics of un-observable fields from out-core measurements of simple fields using Supervised Learning 1-gen-2024 Carolina IntroiniStefano RivaLoi LorenzoAntonio Cammi +
Multi-physics model bias correction with data-driven reduced order techniques: Application to nuclear case studies 1-gen-2024 Riva, StefanoIntroini, CarolinaCammi, Antonio
Multi-Physics Model Correction With Data-Driven Reduced Order Modelling 1-gen-2023 Stefano RivaCarolina IntroiniAntonio Cammi
Neutron Flux Reconstruction from Out-Core Sparse Measurements using Data-Driven Reduced Order Modelling 1-gen-2024 Stefano RivaSophie DeanesiCarolina IntroiniStefano LorenziAntonio Cammi
Non-intrusive system state reconstruction from indirect measurements: A novel approach based on Hybrid Data Assimilation methods 1-gen-2023 Carolina IntroiniStefano RivaStefano LorenziAntonio Cammi +