A genetic algorithm to optimize the multi-group structure for the neutronic analyses of the ARC fusion reactor

In the framework of the modeling of fusion reactors with deterministic neutronic codes, the choice of an appropriate energy grid for the generation of the multigroup nuclear properties is essential. In this work, a Genetic Algorithm is employed to optimize the energy grid employed in the nemoFoam mu...

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Autori principali:	Alex Aimetta, Nicolò Abrate, Marco Caravello, Sandra Dulla, Antonio Froio, Mattia Massone
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-03-01
Serie:	Nuclear Materials and Energy
Soggetti:	Molten salt liquid breeder blankets Energy group structure optimization Genetic algorithm Multigroup diffusion calculations
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2352179126000153
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