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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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
May 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Nuclear advocates fight potential cuts at DOE’s Loan Programs Office
Nearly 60 percent of staff at the U.S. Department of Energy’s nuclear-friendly Loan Programs Office may be lost through President Trump’s deferred resignation program, the Washington Examiner reported.
According to the news outlet, 123 of the 210 current LPO employees have opted into the retirement buyout, which would amount to a 58.5 percent staffing cut in the office that helps finance new nuclear projects among other energy proposals. There is a 45-day period for federal employees older than 40 to change their minds, which could impact the final number of exiting staff.
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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