Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks

no code implementations • 16 Nov 2022 • Lesego E. Moloko, Pavel M. Bokov, Xu Wu, Kostadin N. Ivanov

In this study, Deep Neural Networks (DNNs) are used to predict the assembly axial neutron flux profiles in the SAFARI-1 research reactor, with quantified uncertainties in the ANN predictions and extrapolation to cycles not used in the training process.

Uncertainty Quantification Variational Inference