Thèse, DATAFLOT, Engineering Sciences, Fluids mechanics, Mécanique des fluides, Mechanics
Statistical learning and inverse uncertainty quantification in nuclear thermal-hydraulic simulation : application to the condensation modelling at the safety injection
Riccardo Cocci. Statistical learning and inverse uncertainty quantification in nuclear thermal-hydraulic simulation : application to the condensation modelling at the safety injection. Fluids mechanics [physics.class-ph]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPAST122⟩. ⟨tel-03892219⟩
