Uncertainty Quantification, Sensitivity Analysis, and Machine Learning: I

An Open-Source Uncertainty Quantification Framework for Neutron Flux Spectra in Reactor Irradiation Experiments

10:00–10:20AM MST

Ragai Altamimi (Oak Ridge National Laboratory), Joon Kim (Penn State University), Vittorio Badalassi (Oak Ridge National Laboratory)

Integral-Form Physics-Informed LSTM for Long-Horizon Reactor Power Prediction

10:20–10:40AM MST

Jaden S. Palmer (North Carolina State University), Nelson H. Snow (North Carolina State University), Ryan H. Stewart (Idaho National Laboratory), Jason Hou (North Carolina State University), Xu Wu (North Carolina State University)

Neural-Operator Warm Start for Neutron Diffusion Eigenvalue Problems

10:40–11:00AM MST

Yaozhong Kang (Shanghai University), Jian Guo (Shanghai Institute of Applied Physics), Yang Zou (Shanghai Institute of Applied Physics)

Development of a Convolutional Neural Network Surrogate Model using CASMO5 for BWR Bundle Optimization

11:00–11:20AM MST

Rodolfo M. Ferrer (Studsvik Scandpower), Petra Mala (Studsvik Scandpower GmbH), Joshua Hykes (Studsvik Scandpower)

Stochastic Uncertainty Propagation using Adjoint-based Generalized Perturbation Theory and Depletion Perturbation Theory Sensitivity Coefficients in OpenMC

11:20–11:40AM MST

Sydney A. Dowben (The University of New Mexico), Benjamin R. Murphy (University of New Mexico), Christopher M. Perfetti (University of New Mexico)