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Division Spotlight
Nuclear Nonproliferation Policy
The mission of the Nuclear Nonproliferation Policy Division (NNPD) is to promote the peaceful use of nuclear technology while simultaneously preventing the diversion and misuse of nuclear material and technology through appropriate safeguards and security, and promotion of nuclear nonproliferation policies. To achieve this mission, the objectives of the NNPD are to: Promote policy that discourages the proliferation of nuclear technology and material to inappropriate entities. Provide information to ANS members, the technical community at large, opinion leaders, and decision makers to improve their understanding of nuclear nonproliferation issues. Become a recognized technical resource on nuclear nonproliferation, safeguards, and security issues. Serve as the integration and coordination body for nuclear nonproliferation activities for the ANS. Work cooperatively with other ANS divisions to achieve these objective nonproliferation policies.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver 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
June 2025
Nuclear Technology
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May 2025
Latest News
Another building prepares to come down at Oak Ridge’s Y-12 complex
The Department of Energy’s Office of Environmental Management said that crews with the Oak Ridge Office of Environmental Management (OREM) and its cleanup contractor UCOR are preparing to demolish another deteriorating Manhattan Project–era building at the Y-12 National Security Complex at Oak Ridge, Tenn.
Technical Session|Computational Methods, Artificial Intelligence, and Machine Learning
Saturday, April 6, 2024|1:35–2:55PM EDT|Engineering Services Building Room 122
Session Chair:
Luiz C. Aldeia Machado (Penn State University)
Alternate Chair:
Alexander S. Hauck (Penn State University)
Session Organizer:
Jonathan B. Balog (Penn State University)
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Machine Learning for Time-Series Prediction of the Cryogenic Moderator System in Oak Ridge National Laboratory's Spallation Neutron Source Facility
1:35–1:55PM EDT
Gavin McDuffee (Tennessee Technological Univ.), William Gurecky (Univ. Texas, Austin), Wesley C. Williams (ORNL), Xingang Zhao (ORNL)
Paper
ML-LIBS: Machine Learning-Based Spectra Predictions of Time-Dependent Lithium Emission Spectroscopy Imaging
1:55–2:15PM EDT
Lauren A. Kohler (NCSU), Jason P. Clifford (NCSU), Nursat Karim (NCSU), Sivanandan S. Harilal (PNNL), Elizabeth Kautz (NCSU), Xu Wu (NCSU)
Parameter Importances from Random Forest Machine Learning for Accident Tolerant Fuel Pool Boiling
2:15–2:35PM EDT
Eliot R. Ciuperca (Univ. Wisconsin, Madison), Juliana P. Duarte (Univ. Wisconsin, Madison), Bruno P. Serrao (Univ. Wisconsin, Madison)
A Preliminary Exploration into Using Mixture Density Networks to Compress Data in Monte Carlo Codes
2:35–2:55PM EDT
Eappen S. Nelluvelil (Univ. Colorado, Boulder), Anna Matsekh (LANL), Arvind Mohan (LANL), Mathew A. Cleveland (LANL), Alex Long (LANL)
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