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Division Spotlight
Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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May 2025
Jan 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NRC dockets construction permit for Dow, X-energy SMR
The Nuclear Regulatory Commission has accepted Dow’s construction permit application to build an X-energy small modular reactor in Seadrift, Texas.
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 (Reactor Physics Division), 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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