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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
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
NNSA to conduct NEPA review of plutonium pit production
The National Nuclear Security Administration announced that it will prepare a programmatic environmental impact statement (PEIS) to ensure National Environmental Policy Act compliance for the administration’s production of plutonium pits. The NNSA is inviting the public to participate in the PEIS process and to comment on the scope, environmental issues, and alternatives for consideration in drafting the document.
Joseph A. Christensen, R. A. Borrelli
Nuclear Science and Engineering | Volume 196 | Number 11 | November 2022 | Pages 1333-1348
Technical Paper | doi.org/10.1080/00295639.2022.2087832
Articles are hosted by Taylor and Francis Online.
This work uses evaluated criticality safety benchmarks to examine the effect of heterogeneity in high-assay low-enriched uranium (HALEU) systems. A subset of benchmarks selected based on their composition parameters is slightly modified to artificially introduce heterogeneity, and the difference in the effective multiplication factor between the homogeneous benchmark and the modified model is determined. The difference in the multiplication factor is evaluated for correlations against both the moderator ratio and the enrichment of the benchmarks, and the correlations are examined using established statistical methods. In several cases, statistically significant correlations are observed and discussed, and the lack of expected correlations is also discussed.