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Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
2021 Student Conference
April 8–10, 2021
North Carolina State University|Raleigh Marriott City Center
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Nuclear Science and Engineering
Fusion Science and Technology
Baranwal reviews virtual STEM lessons for U.S. tribal communities
In a blog post to the Department of Energy’s website on November 23, Rita Baranwal, assistant secretary for the Office of Nuclear Energy, commended recent virtual lesson projects from the Office of Nuclear Energy and the Nuclear Energy Tribal Working Group to increase STEM opportunities for Native American tribes.
The spotlighted lesson discussed in the article focused on a 3D-printed clip that turns a smartphone or tablet into a microscope with the ability to magnify items by 100 times. The Office of Nuclear Energy shipped nearly 1,000 of these microscope clips to students across the country, many of them going to U.S. tribal communities.
Humberto E. Garcia, Steven E. Aumeier, Ahmad Y. Al-Rashdan
Nuclear Science and Engineering | Volume 194 | Number 4 | April 2020 | Pages 249-269
Technical Paper | dx.doi.org/10.1080/00295639.2019.1698237
Articles are hosted by Taylor and Francis Online.
This paper examines the potential of embedded intelligence (EI) and the resultant implications of secure EI (SEI) and integrated state awareness (ISA) as disruptors in the advanced nuclear energy systems market. To this end, it reviews the state-of-the-art of EI in nuclear and other industries; discusses design trends, benefits, challenges, and opportunities; and addresses the rigorous development of SEI-driven approaches for achieving ISA and other smart functionalities (e.g., remote, flexible, and/or autonomous operations). It also defines concepts in such a way as to enable rigorous further development and identifies potential actions to capture opportunity, including the identification of areas for appropriate research, development, and demonstration.