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Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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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NRC cuts fees by 50 percent for advanced reactor applicants
The Nuclear Regulatory Commission has announced it has amended regulations for the licensing, inspection, special projects, and annual fees it will charge applicants and licensees for fiscal year 2025.
M. Natelson
Nuclear Science and Engineering | Volume 31 | Number 2 | February 1968 | Pages 325-336
Technical Paper | doi.org/10.13182/NSE68-A18245
Articles are hosted by Taylor and Francis Online.
A strategy is proposed for the application of space-angle synthesis (SAS) to the finding of solutions for practical nuclear reactor neutron transport problems. A simple SAS approximation is derived. Trial functions for the approximations are to be created for each mesh point used in describing a set of similar problems which are to be solved. The strategy is concerned with constructing problems that are simpler than, but representative of, the set of problems finally to be solved. It is from transport solutions of these representative problems that the SAS trial functions are to be formed. This strategy and the simple SAS approximation are applied successfully to several sets of similar problems for which diffusion theory is inadequate.