Machine Learning in Nuclear Systems

Machine Learning Critical Heat Flux Modeling for PWR Design Applications

3:15–3:40PM CDT

Emre Tatli (Westinghouse Electric Co.), Alexander Mace (Westinghouse Electric Co.), Sukhwans Singh (Westinghouse Electric Co.), Michael Bettencourt (Westinghouse Electric Co.), Yixing Sung (Westinghouse Electric Co.), Mario Buczkowski (Westinghouse Electric Co.), Raji Kosloske (Westinghouse Electric Co.), Aral Muftuoglu (Westinghouse Electric Co.), Gregory R. Williams (Westinghouse Electric Co.)

A Machine Learning Approach Towards Improving QA/QC of Coated Particle Fuels

3:40–4:05PM CDT

Bryan Conry (ORNL), Grant Helmreich (ORNL), Tyler Gerczak (ORNL)

Extending the Deep Learning Based Thermal Limit Bias Reduction Methodology to Multiple Boiling Water Reactors

4:05–4:30PM CDT

Anirudh Tunga (Blue Wave AI Labs), Sanchari Banerjee (Blue Wave AI Labs), Michael J. Mueterthies (Blue Wave AI Labs), Jonathan Nistor (Blue Wave AI Labs)

Neural Network-Based Surrogate Modeling for Accelerating BWR Equilibrium Cycle Optimization

4:30–4:55PM CDT

Maria Berardi (Blue Wave AI Labs), Michael J. Mueterthies (Blue Wave AI Labs), M. Rizki Oktavian (Blue Wave AI Labs), Anirudh Tunga (Blue Wave AI Labs), Phil McCalley (Blue Wave AI Labs), Jordan Heim (Blue Wave AI Labs), J. Thomas Gruenwald (Blue Wave AI Labs), Jonathan Nistor (Blue Wave AI Labs)