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20222025
most citedPrediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks

13 citations · 14 across the 3 of their papers we have counts for

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eess.SY2025

Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?

Xu Wu, Lesego E. Moloko, Pavel M. Bokov +3

Machine learning (ML) has been leveraged to tackle a diverse range of tasks in almost all branches of nuclear engineering. Many of the successes in ML applications can be attribute…