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dc.contributor.authorSalomon, Julien
HAL ID: 738224
dc.contributor.authorRiahi, Mohamed Kamel
HAL ID: 4859
dc.contributor.authorMaday, Yvon
dc.contributor.authorBaudron, Anne-Marie
dc.contributor.authorLautard, Jean-Jacques
dc.subjectparareal in time algorithmen
dc.subjectparallel solveren
dc.subjectkinetic of neutronsen
dc.titleParareal in time algorithm, time-dependent neutron diffusion equations, reduced model, parallel computation, hight performance computingen
dc.typeDocument de travail / Working paper
dc.contributor.editoruniversityotherDivision of Applied Mathematics (DAM) Brown University;États-Unis
dc.contributor.editoruniversityotherLaboratoire Jacques-Louis Lions (LJLL) CNRS : UMR7598 – Université Paris VI - Pierre et Marie Curie;France
dc.contributor.editoruniversityotherLaboratoire de Logiciels pour la Physique des Réacteurs (LLPR) CEA : DEN/DM2S/SERMA/LLPR;France
dc.description.abstractenThe accurate knowledge of the time-dependent spatial flux distribution in nuclear reactor is required for nuclear safety and design. The motivation behind the development of parallel methods for solving the energy-, space-, and time-dependent kinetic equations is not only the challenge of developing a method for solving a large set of coupled partial differential equations, but also a real need to predict the performance and assess the safety of large commercial reactors, both these presently operating and those being designed for the future. Numerical results show the efficiency of the parareal method on large light water reactor transient model.en
dc.publisher.nameUniversité Paris-Dauphineen
dc.subject.ddclabelSciences connexes (physique, astrophysique)en

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