AI/ML Applications in Thermal Hydraulics

A Machine Learning Approach for Calculating Drift Velocity in Two-Phase Flow

1:00–1:20PM CDT

Tristan R. Villarreal (Univ. Texas, Austin), Ethan Rozak (Univ. Texas, Austin), Cole Gentry (Univ. Texas, Austin), Benjamin Collins (Univ. Texas, Austin), Kevin Clarno (Univ. Texas, Austin)

Advancing Nuclear R&D with Large Language Models: Case Studies in Thermal Hydraulics, Simulation Workflows, and Education

1:20–1:40PM CDT

Yang Liu (TAMU), Zavier Ndum (TAMU), Abhiram Garimidi (TAMU), Zaid Abulawi (TAMU), Doyeong Lim (TAMU)

Deep Learning Based Accident Classification Method for Condition Monitoring of Heat Pipe Cooled Microreactors

1:40–2:00PM CDT

Ik Jae Jin (Ulsan Nat'l Institute Science and Technology), In Cheol Bang (Ulsan Nat'l Institute Science and Technology)

Physics-Informed Machine Learning for Void Fraction Prediction in Upward and Downward Two-Phase Flows

2:00–2:20PM CDT

Davide Rotilio (Univ. Tennessee, Knoxville), Jacob Petersen (Univ. Tennessee, Knoxville), Robert K. Salko (ORNL), Xingang Zhao (Univ. Tennessee, Knoxville)

Developing Reduced-Order Models with Machine Learning for Gas Flow in Pebble Bed Reactors

2:20–2:40PM CDT

Dezhi Dai (ANL), Haoyu Wang (ANL), Haomin Yuan (ANL)