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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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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Latest News
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.”
Hiroshi Sekimoto
Nuclear Science and Engineering | Volume 68 | Number 3 | December 1978 | Pages 351-356
Technical Note | doi.org/10.13182/NSE78-A27312
Articles are hosted by Taylor and Francis Online.
A new method is proposed to unfold a neutron spectrum from measured activities with a guess shape for the spectrum. This method minimizes the weighted sum of the deviations from the guess shape and the measured activities and optimizes the scaling factor of the spectrum at the same time. Unlike most conventional methods, it does not need iterations, but instead directly obtains an unfolded spectrum by solving a positive definite matrix, whose size is equal to the number of the measured activities. Both analytical and numerical comparisons with some conventional methods are also presented.