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 (ORNL), Kemal Ramic (ORNL), Vittorio Badalassi (ORNL)

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

1:20–1:40PM MDT

Annamaria McHugh (Univ. Michigan, Ann Arbor), Peter J. Brain (LANL), Theresa E. Cutler (LANL), Noah Kleedtke (LANL), Michael E. Rising (LANL), Shaun D. Clarke (Univ. Michigan), Sara A. Pozzi (Univ. 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), Camille Palmer (Oregon State), Michael E. Rising (LANL)

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), Nathan T. Shoman (Sandia)