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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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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Deep Isolation validates its disposal canister for TRISO spent fuel
Nuclear waste disposal technology company Deep Isolation announced it has successfully completed Project PUCK, a government-funded initiative to demonstrate the feasibility and potential commercial readiness of its Universal Canister System (UCS) to manage TRISO spent nuclear fuel.
Zongwei Wang, Qi Wang, Xuesen Zhao, Dangzhong Gao, Xiaojun Ma
Fusion Science and Technology | Volume 77 | Number 3 | April 2021 | Pages 188-194
Technical Paper | doi.org/10.1080/15361055.2020.1860417
Articles are hosted by Taylor and Francis Online.
A technique has been developed to characterize the doping concentration distribution of inertial confinement fusion capsules based on a method combining absorption retrieval, computerized tomography, and a gradient doping absorption model. The doping concentration distribution in a reconstructed slice of Si-doped capsules was obtained using this method and on average is in good agreement with contact radiography by comparison experiments. The established technique has been used to obtain a three-dimensional point cloud of the doping concentration distribution by reconstructing all of the slices for the doping capsules. Uncertainty of the doping concentration was analyzed, and the expanded uncertainty is approximately 0.1 at. % (K = 2).
