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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
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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May 2025
Jan 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NRC dockets construction permit for Dow, X-energy SMR
The Nuclear Regulatory Commission has accepted Dow’s construction permit application to build an X-energy small modular reactor in Seadrift, Texas.
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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