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 University), 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 (Argonne National Laboratory), Alexandre Millischer (Argonne National Laboratory), Ling Zou (Argonne National Laboratory), Rui Hu (Argonne National Laboratory)

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

2:00–2:20PM EST

Aidan J. Furlong (North Carolina State University), Xingang Zhao (University of Tennessee Knoxville), Robert K. Salko (Oak Ridge National Laboratory), Xu Wu (North Carolina State University)

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