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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear Science and Engineering
September 2025
Nuclear Technology
August 2025
Fusion Science and Technology
Latest News
Deep geologic repository progress—2025 Update
Editor's note: This article has was originally published in November 2023. It has been updated with new information as of June 2025.
Outside my office, there is a display case filled with rock samples from all over the world. It contains a disk of translucent, orange salt from the Waste Isolation Pilot Plant near Carlsbad, N.M.; a core of white-and-bronze gneiss from the site of the future deep geologic repository in Eurajoki, Finland; several angular chunks of fine-grained, gray claystone from the underground research laboratory at Bure, France; and a piece of coarse-grained granite from the underground research tunnel in Daejeon, South Korea.
Technical Session|Sponsored by THD
Tuesday, June 17, 2025|1:00–2:45PM CDT|Chicago Ballroom B
Session Chair:
Subash L. Sharma
Session Organizer:
Alternate Chair:
Xu Wu
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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)
Paper
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)
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