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Eric Cervi
Researcher at Polytechnic University of Milan
Publications - 23
Citations - 206
Eric Cervi is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Multiphysics & Solver. The author has an hindex of 7, co-authored 19 publications receiving 130 citations. Previous affiliations of Eric Cervi include University of Milano-Bicocca.
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Development of a multiphysics model for the study of fuel compressibility effects in the Molten Salt Fast Reactor
TL;DR: In this article, a multiphysics model is developed for the analysis of the generation IV Molten Salt Fast Reactor (MSFR), with a specific focus on the compressibility effects of the fluid that acts as fuel in the reactor.
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Results from a multi-physics numerical benchmark for codes dedicated to molten salt fast reactors
Marco Tiberga,Rodrigo G. G. de Oliveira,Eric Cervi,Juan Antonio Blanco,Stefano Lorenzi,Manuele Aufiero,Danny Lathouwers,P. Rubiolo +7 more
TL;DR: This work proposes the use of a coupled numerical benchmark specifically designed to assess the physics-coupling capabilities of the aforementioned codes, and collects and compares the results obtained during the benchmarking campaign of four multi-physics tools developed within the SAMOFAR project.
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Development of an SP3 neutron transport solver for the analysis of the Molten Salt Fast Reactor
TL;DR: In this paper, a multiphysics OpenFOAM solver for the analysis of the MSFR helium bubbling system and its effect on reactivity is presented, where the presence of bubbles inside the reactor is handled with a two-fluid thermal-hydraulics module, previously implemented into the solver.
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Multiphysics analysis of the MSFR helium bubbling system: A comparison between neutron diffusion, SP3 neutron transport and Monte Carlo approaches
TL;DR: In this article, the presence of helium bubbles in the core of the Molten Salt Fast Reactor (MSF Reactor) is investigated from both a neutronics and thermal-hydraulics point of view.
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Dynamic mode decomposition for the stability analysis of the Molten Salt Fast Reactor core
Andrea Di Ronco,Carolina Introini,Eric Cervi,Stefano Lorenzi,Yeong Shin Jeong,Seok Bin Seo,In Cheol Bang,Francesca Giacobbo,Antonio Cammi +8 more
TL;DR: The results show the capabilities of DMD to extract and surrogate the dynamics of the MSFR following perturbation, including the initial non-linear dynamics and the final steady-state.