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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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
May 2025
Fusion Science and Technology
Latest News
The 2025 ANS election results are in!
Spring marks the passing of the torch for American Nuclear Society leadership. During this election cycle, ANS members voted for the newest vice president/president-elect, treasurer, and six board of director positions (four U.S., one non-U.S., one student). New professional division leadership was also decided on in this election, which opened February 25 and closed April 15. About 21 percent of eligible members of the Society voted—a similar turnout to last year.
Technical Session
Wednesday, May 18, 2022|3:30–5:15PM EDT|Pointview
Session Chair:
Benjamin S. Collins (U. of Texas)
Alternate Chair:
Benoit Forget (MIT)
Session Organizer:
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RAST-AI: A Standalone Nodal Diffusion/Deep Neural Network Code for Reactor Analysis and Simulation
Siarhei Dzianisau (Ulsan Nat'l Institute of Science and Technology), Fathurrahman Setiawan (Ulsan Nat'l Institute of Science and Technology), Korawit Saeju (Ulsan Nat'l Institute of Science and Technology), Jinsu Park (Ulsan Nat'l Institute of Science and Technology), Deokjung Lee (Ulsan Nat'l Institute of Science and Technology)
Paper
Using Neural Networks to Predict Pin Powers in Reflective PWR Fuel Assemblies with Varying Pin Size
Aidan Furlong (Univ. Florida), Forrest Shriver (Sentinel Devices), Justin Watson (Univ. Florida)
Prediction of Nuclear Reactor Core Parameters Using Artificial Neural Network
Wojciech Kubinski (National Centre for Nuclear Research), Piotr Darnowski (Warsaw Univ. Technology), Krzysztof Palmi (Warsaw Univ. Technology)
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