ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
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.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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Latest News
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.
A. C. Nelson, JR., W. S. Minkler
Nuclear Science and Engineering | Volume 17 | Number 1 | September 1963 | Pages 101-110
Technical Paper | doi.org/10.13182/NSE63-A17215
Articles are hosted by Taylor and Francis Online.
A general method has been developed for evaluating the effects of uncertainties in design variables on the ability of a core to meet various transient and steady-state limiting thermal criteria. The performance characteristics of interest are evaluated by digital computer at carefully selected points in the parameter regions of interest, and the results are fitted by least squares to a polynomial approximation. Statistical information and/or limiting values may be readily applied to this approximation to yield a bound on the probability that the thermal design limits will not be exceeded.