AI/ML Applications in Thermal Hydraulics

Visual-Acoustic Boiling Data Driven Machine Learning for Isotope Production

1:00–1:20PM EST

Pei-Hsun Huang (LANL), Jee Hyun Seong (Korea Advanced Institute of Science & Technology), Jonathan M. Castro-Aguilar (LANL), Ellen M. O'Brien (LANL), Christiaan E. Vermeulen (LANL)

A Physics-Informed Neural Network Approach for Reliable Surrogate Modeling for PWR LOOP Accidents

1:20–1:40PM EST

Fabiano Thulu (Young Members Group), Zeyun Wu (Virginia Commonwealth Univ.), Yunfei Zhao (University of Maryland at College Park)

Transformer-Based Deep-Learning Turbulence Modeling for Coarse-Mesh Reactor Simulations

1:40–2:00PM EST

Eric Cervi (ANL), Alexandre Millischer (ANL), Ling Zou (ANL), Rui Hu (ANL)

Development and Deployment of Hybrid ML Models for Critical Heat Flux Prediction in Annulus Geometries

2:00–2:20PM EST

Aidan J. Furlong (NCSU), Xingang Zhao (Univ. Tennessee, Knoxville), Robert K. Salko (ORNL), Xu Wu (NCSU)

Aggregation of Published Non-Uniform Axial Power Data for Phase II of the OECD/NEA AI/ML Critical Heat Flux Benchmark

2:20–2:40PM EST

Reece Bourisaw (Kansas State), Reid McCants (Kansas State), Jean-Marie Le Corre (Westinghouse Electric Co.), Anna Iskhakova (Kansas State), Arsen Iskhakov (Kansas State)