Machine Learning and Artificial Intelligence for T/H: III

Digital Twin Development for Advanced Reactor System Based on Graph Neural Networks Using SAM Code Simulation

1:30–1:50PM EDT

Yang Liu (ANL), Farah Alsafadi (NCSU), Travis Mui (ANL), Daniel O'Grady (ANL), Rui Hu (ANL)

Introducing the OECD/NEA WPRS Benchmark on Artificial Intelligence and Machine Learning for Scientific Computing in Nuclear Engineering

1:50–2:10PM EDT

Xu Wu (NCSU), Gregory Delipei (NCSU), Maria Avramova (NCSU), Kostadin Ivanov (NCSU), Oliver Buss (OECD/NEA)

Application of a Physics-Informed Convolutional Neural Network for Temperature Field Monitoring in Advanced Reactors

2:10–2:30PM EDT

Victor Coppo Leite (Penn State), Elia Merzari (Penn State), April Novak (ANL), Roberto Ponciroli (ANL), Lander Ibarra (ANL)

Prediction of Turbulent Flow Regime Boundary and Pressure Drop for Hexagonal Wire-Wrapped Rod Assemblies Using Artificial Neural Networks

2:30–2:50PM EDT

Hansol Kim (TAMU), Joseph Seo (TAMU), Yassin A. Hassan (TAMU)

Physics-Informed Forecasting of NPPs Operating Parameters Using Machine Learning

2:50–3:10PM EDT

Houde Song (Shanghai Jiao Tong Univ.), Meiqi Song (Shanghai Jiao Tong Univ.), Yanjie Tuo (Shanghai Jiao Tong Univ.), Xiaojing Liu (Shanghai Jiao Tong Univ.)