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Division Spotlight
Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
Meeting 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
August 2025
Nuclear Technology
July 2025
Fusion Science and Technology
Latest News
NextGen MURR Working Group established in Missouri
The University of Missouri’s Board of Curators has created the NextGen MURR Working Group to serve as a strategic advisory body for the development of the NextGen MURR (University of Missouri Research Reactor).
Technical Session|Sponsored by MCD
Wednesday, June 19, 2024|8:00–9:45AM PDT|Jasmine B
Session Chair:
Syed Bahauddin Alam
Alternate Chair:
Yifeng Che (INL)
Session Organizer:
Koroush Shirvan (MIT)
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Uncertainty Analysis on the Pump Flow Transient Phenomena in the Molten Salt Reactor Experiment
8:00–8:20AM PDT
Mohamed H. Elhareef (Virginia Commonwealth Univ.), Zeyun Wu (Virginia Commonwealth Univ.)
Paper
The Effect of the State-of-Knowledge Correlation in PSA Depending on the Type of Uncertainty Distributions
8:20–8:40AM PDT
Gyun Seob Song (Chung-Ang Univ.), Man Cheol Kim (Chung-Ang Univ.)
Optimization and Analysis of LSTM-Based Surrogate Modeling of Metallic Nuclear Fuels
8:40–9:00AM PDT
James Daniell (Missouri Univ. Science and Technology), Kazuma Kobayashi (Univ. Illinois, Urbana-Champaign), Syed Bahauddin Alam (Univ. Illinois, Urbana-Champaign), Ayodeji Alajo (Missouri Univ. Science and Technology)
Predicting Heat Release Rates of Electrical Enclosures Using Machine Learning
9:00–9:20AM PDT
Elvan Sahin (Virginia Tech), Brian Y. Lattimer (Virginia Tech), Juliana P. Duarte (Univ. Wisconsin, Madison)
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