Machine Learning and Artificial Intelligence for Nuclear: II

Knowledge-Driven Explainable AI for Automated Defect Detection in Nuclear Reactor Components

10:00–10:20AM CDT

Andrew Young (University of Strathclyde), Jaime Zabalza (University of Strathclyde), Zhouxiang Fei (University of Strathclyde), Graeme M. West (University of Strathclyde), Paul Murray (University of Strathclyde), Stephen McArthur (University of Strathclyde)

System-Level Prognostics with Explainable Artificial Intelligence

10:20–10:40AM CDT

Ark O. Ifeanyi (University of Tennessee), Jamie B. Coble (Univ. Tennessee, Knoxville), Mattia Zanotelli (Univ. Tennessee, Knoxville)

AI for Interpreting Nuclear Power Plant Documents for Power Uprates

10:40–11:00AM CDT

Norman J. Mapes (Battelle Energy Alliance/INL), Brian Wilcken (INL), Kellen Giraud (INL), Ahmad A. Rashdan (INL), Marcio D. Queiroz (INL)

Proximity-Based Anomaly Detection Using Graph Neural Networks for NPP Abnormal Operations

11:00–11:20AM CDT

Jeonghun Choi (Korea atomic energy research institute), Seo Ryong Koo (Korea atomic energy research institute)

Role of Uncertainty Quantification in the Explainability of Large Language Models for the Nuclear Industry

11:20–11:40AM CDT

Nancy J. Lybeck (INL), Vaibhav Yadav (INL), Ronald L. Boring (INL), Vivek Agarwal (INL)