1. A neural network approach for burn-up calculation and its application to the dynamic fuel cycle code CLASS
2. Coupled CLASS and DONJON5 3D full-core calculations and comparison with the neural network approach for fuel cycles involving MOX fueled PWRs
3. Hébert A.,
Sekki D.,
Chambon R.,
A User Guide for DONJON Version 5, Institut de génie nucléaire, Département de génie mécanique, École Polytechnique de Montréal.
Montréal QC, Canada, Tech. Rep. IGE-344,
2019
4. Mouginot B. et al.,
Core library for advanced scenario simulation, CLASS: principle & application, in
International Conference “The Role of Reactor Physics toward a Sustainable Future” (PHYSOR 2014)
(2014), pp. 12
5. Marleau G.,
Hébert A.,
Roy R.,
A User Guide for DRAGON Version 5, Institut de génie nucléaire, Département de génie physique, École Polytechnique de Montréal.
Montréal QC, Canada, Tech. Rep. IGE-335,
2018