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Division Spotlight
Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott 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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Countering the nuclear workforce shortage narrative
James Chamberlain, director of the Nuclear, Utilities, and Energy Sector at Rullion, has declared that the nuclear industry will not have workforce challenges going forward. “It’s time to challenge the scarcity narrative,” he wrote in a recent online article. “Nuclear isn't short of talent; it’s short of imagination in how it attracts, trains, and supports the workforce of the future.”
Yigal Ronen
Nuclear Science and Engineering | Volume 72 | Number 1 | October 1979 | Pages 110-113
Technical Note | doi.org/10.13182/NSE79-A19314
Articles are hosted by Taylor and Francis Online.
Perturbation theory is a collection of methods for determining the effect of a known perturbation on a given physical system. Inverse perturbation theory is defined as a collection of methods for determining the nature of the perturbation itself. This Note presents one method related to inverse perturbation theory, where calculated and measured parameters in one system bound the expected measured parameters in a related system subject to the same uncertainties as in the first system. The method is applied to reactor theory problems.