Machine Learning and Artificial Intelligence for Reactor Physics: I

State Estimation and Control in Digital Twins for TRIGA Research Reactors

10:15–10:35AM PDT

John Ross (Univ. Texas, Austin), Ben Collins (Univ. Texas, Austin), Kevin Clarno (Univ. Texas, Austin)

Demonstration of Microreactor Reactivity Control with Reinforcement Learning

10:35–10:55AM PDT

Majdi I. Radaideh (Univ. Michigan), Dean Price (Univ. Michigan), Kamal Abdulraheem (Univ. Michigan), Moutaz Elias (Lam Research)

Machine Learning Prediction of Pebble History in Pebble Bed Reactors

10:55–11:15AM PDT

Ian Kolaja (Univ. California, Berkeley), Tatiana Siaraferas (Univ. California, Berkeley), Yves Robert (Univ. California, Berkeley), Jaewon Lee (Univ. California, Berkeley), Massimiliano Fratoni (Univ. California, Berkeley)

C3-LPO: A Machine Learning Based Surrogate Model for Reactor Design Evaluation and Optimization

11:15–11:35AM PDT

Kingsley Ogujiuba (NCSU), Jake Mikouchi-Lopez (NCSU), Gregory Delipei (NCSU), Jason Hou (NCSU)

Generative AI Tools in the Nuclear Engineering Community: A Survey-Based Evaluation of the Current Adoption and Impacts

11:35–11:55AM PDT

Oskari Pakari (École Polytechnique Fédérale de Lausanne), Alessandro Scolaro (École Polytechnique Fédérale de Lausanne), Carlo Fiorina (TAMU)