Nuclear Fuels and Materials Modeling

Predicting Nuclear Fuel Lattice Parameters From Fuel Composition Using Machine Learning

3:15–3:35PM MDT

Cade A. Finney (Univ. Florida), Denise Adorno Lopes Adorno Lopes, Bekah Petrosky (ORNL), William F. Cureton

Understanding Nuclear Fuel Cladding Mechanical Behavior with FEA and Explainable Machine Learning

3:35–3:55PM MDT

Mahmut N. Cinbiz (ORNL), Gorti Sarma (ORNL), Benton Garrison, Kory Linton (ORNL)

A Physics-Guided Neural Network for Predicting Mass Change in Two Polyurethane Foams from Humidity-Induced Water Diffusion

3:55–4:15PM MDT

Michael May (Univ. Tennessee, Knoxville), Vincent Lamberti (Consolidated Nuclear Security/Y-12 National Security Complex), Russell Hallman (Consolidated Nuclear Security/Y-12 National Security Complex), Derick Weis (Consolidated Nuclear Security/Y-12 National Security Complex), Jamie B. Coble (Univ. Tennessee, Knoxville)

Time Large Language Models for Digital-Twin Monitoring of MiniFuel Irradiation Experiments

4:15–4:35PM MDT

Gustavo A. Giraldo Echeverri (Southern Methodis University), Adel Alaeddini (Southern Methodis University), Jacob P. Gorton (ORNL), Nathan Capps (ORNL), Elizabeth S. Sooby (University of Texas San Antonio)

Optical Absorption Modeling in Molten Salt Mixtures

4:35–4:55PM MDT

Jacob C. Numbers (Univ. Tennessee, Knoxville), Anthony Birri (ORNL), Xingang Zhao (Univ. Tennessee, Knoxville)