Uncertainty Quantification and Statistical Methods for Fuel Cycle Analysis

Addressing TRISO Fuel Fabrication Facility MC&A Challenges via Statistical Test Modeling Using F3M and MAPIT

1:00–1:20PM CDT

Separation and Safeguards Performance Model of Used Nuclear Fuel Reprocessing for Material Control & Accountancy Application

1:20–1:40PM CDT

Physics-Constrained Neural Decoders for Poisson-Distributed Spectral Data: Bridging Nonnegative Matrix Factorization and Deep Learning for Radiation Anomaly Detection

1:40–2:00PM CDT

Incorporation of uncertainty quantification to the proliferation resistance analysis and evaluation tool for observed risk (PRAETOR)

2:00–2:20PM CDT

AI-Driven Analysis of Nuclear Fuel Cycle Forensics: A Deep Learning Approach to Uncertainty Quantification

2:20–2:40PM CDT