Uncertainty Quantification, Sensitivity Analysis, and Machine Learning: II

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

1:00–1:20PM MDT

Ragai Altamimi (Oak Ridge National Laboratory), Kemal Ramic (Oak Ridge National Laboratory), Vittorio Badalassi (Oak Ridge National Laboratory)

Verification of Novel Nuclear Data Sensitivity Calculation Methods for Neutron Leakage Measurements in MCNP

1:20–1:40PM MDT

Annamaria McHugh (University of Michigan Ann Arbor), Peter J. Brain (Los Alamos National Laboratory), Theresa E. Cutler (Los Alamos National Laboratory), Noah Kleedtke (Los Alamos National Laboratory), Michael E. Rising (Los Alamos National Laboratory), Shaun D. Clarke (University of Michigan), Sara A. Pozzi (University of Michigan)

Quantifying the Impact of Nuclear Data on Predictive Radiation Transport alpha-eigenvalue Calculations

1:40–2:00PM MDT

Antonio Huerta (Oregon State University Student Section), Todd S. Palmer (Oregon State University), Camille Palmer (Oregon State University), Michael E. Rising (Los Alamos National Laboratory)

Representative keff Sensitivity Profiles for the MCFR Program

2:00–2:20PM MDT

Michael Branco-Katcher (TerraPower, LLC), Anselmo T. Cisneros (TerraPower), Bobbi Harper (TerraPower), Thomas H. Drury (TerraPower)

Data-driven Anomaly-aware Sensor Uncertainty Quantification for Nuclear Waste Management Systems

2:20–2:40PM MDT

Sachini Piyoni Ekanayake (GE Vernova Advanced Research Center), Scott C. Evans (GE Vernova Advanced Research Center), Hao Huang (GE Vernova Advanced Research Center), Philip Honnold (Sandia National Laboratories), Nathan T. Shoman (Sandia National Laboratories)