Manual

The manual of FEMFFUSION can be downloaded here.

It also exists a version in Spanish here.

Related Publications

  • Chillarón-Pérez, M.; Vidal-Ferràndiz, A.; Vidal, V.; Verdú, G. (2025) Classification and Location of Neutron Noise Perturbations Using Convolutional Neural Networks. Nuclear Science and Engineering, 199 (Suplement 1), S606 – S616. 10.1080/00295639.2024.2357395
  • Carreño, Amanda; Vidal-Ferràndiz, Antoni; Ginestar Peiro, Damián; Verdú Martín, Gumersindo Jesús. (2024) Development of a diffusive simplified double PN approximation to the neutron transport equation. Annals of Nuclear Energy, 27. 10.1016/j.anucene.2024.110675 
  • Vinai, P.; Yi, H.; Demazière, C.; Rouchon, A. ; Zoia, A. ; Vidal-Ferràndiz, A.; Carreño, A.; Ginestar, D.; Verdú, G. (2023) On the simulation of neutron noise induced by vibrations of fuel pins in a fuel assembly. Annals of Nuclear Energy, 181. 10.1016/j.anucene.2022.109521
  • Carreño, A.; Bergamaschi, L.; Martínez, A.; Ginestar, D.; Vidal-Ferràndiz, A.; Verdú Martín, G. (2022) Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion. Computational and Mathematical Methods, 222, 1 – 13. 10.1155/2022/3884836 
  • Carreño, A.; Vidal-Ferràndiz, A.; Ginestar, D.; Verdú, G. (2022) Frequency-domain models in the SPN approximation for neutron noise calculations. Progress in Nuclear Energy, 148, 1 – 11. 10.1016/j.pnucene.2022.104233 
  • Vidal-Ferràndiz, A.; Carreño, A.; Ginestar, D.; Demazière, C.; Verdú Martín, G. (2020) Neutronic Simulation of Fuel Assembly Vibrations in a Nuclear Reactor. Nuclear Science and Engineering, 11 (194), 1067 – 1078;10.1080/00295639.2020.1756617
  • Vidal-Ferràndiz, A.; A. Carreño; Ginestar, D.; Demazière, C.; Verdú Martín, G. (2020) A time and frequency domain analysis of the effect of vibrating fuel assemblies on the neutron noise. Annals of Nuclear Energy, 1776 (137), 107076 10.1016/j.anucene.2019.107076
  • Carreño, A.; Vidal-Ferràndiz, A.; Ginestar, D.; Verdú, G. (2019) Modal methods for the neutron diffusion equation using different spatial modes. Progress in Nuclear Energy (115)181 – 193.10.1016/j.pnucene.2019.03.040
  • Vidal-Ferràndiz, A.; González-Pintor, S.; Ginestar, D.; Demazière, C.; Verdú Martín, G. (2018) Pin-wise homogenization for SPN neutron transport approximation using the finite element method. Journal of Computational and Applied Mathematics (33)806 – 821.10.1016/j.cam.2017.06.023
  • Carreño, A.; Vidal-Ferràndiz, A.; Ginestar, D.; Verdú, G. (2018) Block hybrid multilevel method to compute the dominant lambda-modes of the neutron diffusion equation. Annals of Nuclear Energy (121)513 – 524. 10.1016/j.anucene.2018.08.010
  • Vidal-Ferràndiz, A.; González-Pintor, S.; Ginestar, D.; Verdú, G; Demazière, C. (2017) Schwarz type preconditioners for the neutron diffusion equation. Journal of Computational and Applied Mathematics (39)563 – 574. 10.1016/j.cam.2016.02.056
  • Carreño, A.; Vidal-Ferràndiz, A.; Ginestar, D.; Verdú, G. (2017) Multilevel method to compute the lambda modes of the neutron diffusion equation. Applied Mathematics and Nonlinear Sciences, 1 (2), 225 – 236. 10.21042/AMNS.2017.1.00019
  • Carreño, A.; Vidal-Ferràndiz, A.; Ginestar, D.; Verdú, G. (2017) Spatial modes for the neutron diffusion equation and their computation. Annals of Nuclear Energy (11)1010 – 1022. 10.1016/j.anucene.2017.08.018
  • Vidal-Ferràndiz, A.; Fayez, R.; Ginestar, D.; Verdú, G. (2016) Moving meshes to solve the time-dependent neutron diffusion equation in hexagonal geometry. Journal of Computational and Applied Mathematics (291)197 – 208. 10.1016/j.cam.2015.03.040
  • Vidal-Ferràndiz, A.; Fayez, R.; D. Ginestar; Verdú, G. (2014) Solution of the Lambda modes problem of a nuclear power reactor using a h-p finite element method. Annals of Nuclear Energy (72)338 – 349. 10.1016/j.anucene.2014.05.026

Support

Work on FEMFFUSION is partially supported by the following projects:

  • CORTEX project from the Euratom Research and Training Programme 2014-2018 under grant agreement No 754316.
  • Grant NEUCONCEPT PDC2021-121667-I00 financed by MCIN/AEI /10.13039/501100011033 and by the European Union Next GenerationEU/PRTR
  • Grand PAID-10-19 and SP20180095 by Universitat Politècnica de València.