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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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Latest News
Joint NEA project performs high-burnup test
An article in the OECD Nuclear Energy Agency’s July news bulletin noted that a first test has been completed for the High Burnup Experiments in Reactivity Initiated Accident (HERA) project. The project aim is to understand the performance of light water reactor fuel at high burnup under reactivity-initiated accidents (RIA).
Technical Session|Sponsored by IRD
Tuesday, June 9, 2020|12:00–2:10PM EDT
Session Chair:
James Bowen (PNNL)
Alternate Chair:
Igor Jovanovic (Univ. of Michigan)
Session Organizer:
Staff Producer:
Paul LaTour (American Nuclear Society)
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Betavoltaic Nuclear Microbattery Based on Graphene/Si Schottky Junction
Xiaoyu Wang (Univ. of Science and Technology of China), Weiping Liu (Chinese Academy of Sciences), Jiachen Zhang (Univ. of Science and Technology of China), Yuncheng Han (Chinese Academy of Sciences), Taosheng Li (Chinese Academy of Sciences), Chunjing Li (Chinese Academy of Sciences)
Paper
Correlation of Absolute 238U Bioavailability (238U-ABA) and 238U Bioaccessibility Fraction (238U-BAF) Using IAEA-312 Standard Reference Soil
Nur Shahidah Abdul Rashid (Pohang Univ. of Science and Technology), Wooyong Um (Pohang Univ. of Science and Technology), Khoo Kok Siong (The Nat'l Univ. of Malaysia), Nur Syamimi Diyana Rodzi (The Nat'l Univ. of Malaysia)
Neutronics Analysis for Designing a Low Activation Heated Test Cell
Michael Buratynski (Penn State Univ.), William J. Walters (Penn State Univ.)
Predicting Background Count Rate of a Mobile Detector using an Optimal Linear Ensemble of Learning Kernel Machines
Miltiadis Alamaniotis (Univ. of Texas, San Antonio)
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