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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
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August 2025
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Latest News
Deep Space: The new frontier of radiation controls
In commercial nuclear power, there has always been a deliberate tension between the regulator and the utility owner. The regulator fundamentally exists to protect the worker, and the utility, to make a profit. It is a win-win balance.
From the U.S. nuclear industry has emerged a brilliantly successful occupational nuclear safety record—largely the result of an ALARA (as low as reasonably achievable) process that has driven exposure rates down to what only a decade ago would have been considered unthinkable. In the U.S. nuclear industry, the system has accomplished an excellent, nearly seamless process that succeeds to the benefit of both employee and utility owner.
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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