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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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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Nuclear Science and Engineering
July 2025
Nuclear Technology
June 2025
Fusion Science and Technology
Latest News
Nominations open for CNTA awards
Citizens for Nuclear Technology Awareness is accepting nominations for its Fred C. Davison Distinguished Scientist Award and its Nuclear Service Award. Nominations for both awards must be submitted by August 1.
The awards will be presented this fall as part of the CNTA’s annual Edward Teller Lecture event.
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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