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Conference Spotlight
2025 ANS Winter Conference & Expo
November 8–12, 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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November 2025
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Nuclear News 40 Under 40—2025
Last year, we proudly launched the inaugural Nuclear News 40 Under 40 list to shine a spotlight on the exceptional young professionals driving the nuclear sector forward as the nuclear community faces a dramatic generational shift. We weren’t sure how a second list would go over, but once again, our members resoundingly answered the call, confirming what we already knew: The nuclear community is bursting with vision, talent, and extraordinary dedication.
Technical Session|Sponsored by IRD
Tuesday, June 9, 2020|12:00–2:10PM EDT|4
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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