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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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Latest News
NNSA awards BWXT $1.5B defense fuels contract
The Department of Energy’s National Nuclear Security Administration has awarded BWX Technologies a contract valued at $1.5 billion to build a Domestic Uranium Enrichment Centrifuge Experiment (DUECE) pilot plant in Tennessee in support of the administration’s efforts to build out a domestic supply of unobligated enriched uranium for defense-related nuclear fuel.
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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