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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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Aug 2025
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Nuclear Science and Engineering
September 2025
Nuclear Technology
Fusion Science and Technology
August 2025
Latest News
DOE fast tracks test reactor projects: What to know
The Department of Energy today unveiled 10 companies racing to bring test reactors online by next year to meet Trump's deadline of next Independance Day, leveraging a new DOE pathway that allows reactor authorization outside national labs. As first outlined in one of the four executive orders on nuclear energy released by President Trump on May 23 and in the request for applications for the Reactor Pilot Program released June 18, the companies must use their own money and sites—and DOE authorization—to get reactors operating. What they won’t need is a Nuclear Regulatory Commission license.
Advances in Thermal Hydraulics (ATH 2024)
Technical Session
Tuesday, November 19, 2024|10:00–11:45AM EST|Coral B
Session Chair:
Xingang Zhao (UTK)
Alternate Chair:
Xu Wu (NCSU)
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VOCAL: Validation, Optical Calibration and Learning Interactive Graphical Interface for Distributed Temperature Sensing in Advanced Reactors
10:00–10:20AM EST
Lauren Kohler (NCSU), Matthew Weathered (ANL), Alexander Heifetz (ANL)
Paper
The Use of Transfer Learning to Extend Critical Heat Flux Predictions
10:20–10:40AM EST
Aidan Furlong (NCSU), Xu Wu (NCSU)
Multi-physics Modeling of Radiative Heat Transfer and Fluid Flow for the Reactor Cavity Cooling System
10:40–11:00AM EST
Sinan Okyay (Penn State), Victor Coppo Leite (INL), Elia Merzari (Penn State), Paolo Balestra (INL), Gerhard Strydom (INL)
Development of the CNN-Based Computer Vision Method for Pressure Field Reconstruction in Turbulent Channel Flow
11:00–11:20AM EST
Congshan Mao (University of Missouri, Columbia), Yue Jin (University of Missouri, Columbia)
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