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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
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Mar 2024
Jan 2024
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Nuclear Science and Engineering
April 2024
Nuclear Technology
Fusion Science and Technology
February 2024
Latest News
Direct waste transfer process quickens at Savannah River Site
The Department of Energy Office of Environmental Management’s liquid waste contractor at the Savannah River Site this month marked the first direct transfer of decontaminated waste from the Salt Waste Processing Facility (SWPF) to the Saltstone Production Facility (SPF). This is a new step in optimizing waste processing, according to the DOE.
Technical Session|Sponsored by THD
Wednesday, December 1, 2021|4:20–5:45PM EST |Columbia 10
Session Chair:
Lane Carasik (Virginia Commonwealth Univ.)
Alternate Chair:
Ralph Wiser (MIT)
Session Organizer:
Dillon R. Shaver
Student Assistant:
Ethan Krammer
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LOFWOS Simulations of the FFTF Using SAM
4:25–4:45PM EST
Brent Hollrah (Texas A&M Univ.), Rodolfo Vaghetto (Texas A&M Univ.), Yassin Hassan (Texas A&M Univ.)
Paper
Reactor Cavity Cooling System Computational Fluid Dynamic Analysis
4:45–5:05PM EST
Michael Gorman (TAMU), Enver I. Koyluoglu (TAMU), Rodolfo Vaghetto (TAMU), Yassin A. Hassan (TAMU)
Machine Learning Approach for Prediction of High-Resolution Quenching Heat Transfer
5:05–5:25PM EST
Kyung Mo Kim (Virginia Polytechnic Institute and State Univ.), Paul Hurley (Virginia Polytechnic Institute and State Univ.), Juliana Pacheco Duarte (Virginia Polytechnic Institute and State Univ.)
Analysis of a Sensitivity on the Initial RCS Conditions in the Major Non-LOCA Accidents
5:25–5:45PM EST
Ilsuk Lee (Korea Institute of Nuclear Safety), Sarah Kang (Korea Institute of Nuclear Safety)
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