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Division Spotlight
Nuclear Criticality Safety
NCSD provides communication among nuclear criticality safety professionals through the development of standards, the evolution of training methods and materials, the presentation of technical data and procedures, and the creation of specialty publications. In these ways, the division furthers the exchange of technical information on nuclear criticality safety with the ultimate goal of promoting the safe handling of fissionable materials outside reactors.
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!
Latest Magazine Issues
Apr 2025
Jan 2025
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Nuclear Science and Engineering
May 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Los Alamos researchers test TRISO transportation
Los Alamos National Laboratory recently performed a series of customized criticality experiments to obtain data that will support the transportation of HALEU TRISO fuel, the Department of Energy announced April 21.
Technical Session
Tuesday, May 17, 2022|1:30–3:15PM EDT|Pointview
Session Chair:
Benoit Forget (MIT)
Session Organizer:
Alternate Chair:
Benjamin S. Collins (U. of Texas)
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PWR Loading Pattern Optimization with Reinforcement Learning
Paul Seurin (MIT), Koroush Shirvan (MIT)
Paper
Parallel Simulated Annealing with Embedded Machine Learning and Multifidelity Models for Reactor Core Design
William Gurecky (ORNL), Ben Collins (ORNL), Paul Laiu (ORNL), Tara Pandya (ORNL), Quincy Huhn (TAMU), Dave Kropaczek (ORNL)
Group Structure Selection with Random Forests
Vishnu Nair (LANL), Thomas Saller (LANL), Andrew Till (LANL), Nathan Gibson (LANL)
Extension of the PINN Diffusion Model to k-eigenvalue Problems
Mohamed H. Elhareef (Virginia Commonwealth Univ.), Zeyun Wu (Virginia Commonwealth Univ.)
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