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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
August 2025
Nuclear Technology
July 2025
Fusion Science and Technology
Latest News
Contractor selected for Belgian LLW/ILW facility
Brussels-based construction group Besix announced that is has been chosen by the Belgian agency for radioactive waste management ONDRAF/NIRAS for construction of the country’s surface disposal facility for low- and intermediate-level short-lived nuclear waste in Dessel.
Technical Session|Sponsored by NNPD
Tuesday, June 15, 2021|4:30–6:15PM EDT
Session Chair:
Stefani Buster
Session Organizer:
Alternate Chair:
James W. Behrens
Staff Producer:
Janice Lindegard (ANS)
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Proliferation Resistance Analysis of Spent Nuclear Fuels
Ryan Siggins (Missouri Univ. of Science and Technology), Friedrich May (Missouri Univ. of Science and Technology), Syed Alam (Missouri Univ. of Science and Technology)
Paper
Moving Nuclear Doctrine Away from Deterrence
Connor Grzovic (Missouri Univ. of Science and Technology), Karl Fahrenholtz (Missouri Univ. of Science and Technology), Syed Alam (Missouri Univ. of Science and Technology)
Uncertainty Quantification of Fission Product Concentration Estimation in MCNP Fuel Depletion Simulations
Grace R. Long (Texas A&M Univ.), Sunil S. Chirayath (Texas A&M Univ.)
Separated Plutonium Attribution using Machine Learning Techniques
Patrick J. O'Neal (Texas A&M Univ.), Sunil S. Chirayath (Texas A&M Univ.)
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