NEUP CINR-23-29598: Uncertainty Quantification of Model Extrapolation in Neural Network-informed Turbulent Closures for Plenum Mixing in HTGRs

We will quantify the uncertainty in prediction of Neural Network-informed Turbulent Closures when they are operating in a model extrapolation state. Once the method is developed for canonical buoyant jets, the protocols will be applied to plenum mixing in HTGRs.

Additional Info

Field	Value
Awarded Institution	Utah State University
PI	Som Dutta