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Division Spotlight
Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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Dec 2024
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
January 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
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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