Reliable Uncertainty Estimation for Machine-Learned Multigroup Cross Sections Without Retraining

Joshua Nichols, Andrew Osborne, Valerio Mascolino

Uncertainty quantification in machine learning models is essential for nuclear energy applications. While machine learning models can make both uncertainty and point predictions, t…