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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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
DOE-NE’s newest fuel consortium includes defense from antitrust laws
The Department of Energy's Office of Nuclear Energy is setting up a nuclear fuel Defense Production Act Consortium that will seek voluntary agreements with interested companies “to increase fuel availability, provide more access to reliable power, and end America’s reliance on foreign sources of enriched uranium and critical materials needed to power the nation’s nuclear renaissance.” According to an August 22 DOE press release, the plan invokes the Defense Production Act (DPA) to give consortium members “defense from antitrust laws when certain criteria are met” and “allow industry consultation to develop plans of action.” DOE-NE is looking for interested companies to join the consortium ahead of its first meeting, scheduled for October 14.
Gayeon Ha, Sanghwa Lee, Gyunyoung Heo (Kyung Hee Univ), Hana Seo, Yujeong Choi (Korea Inst of Nuclear Nonproliferation and Control)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 1260-1266
Nuclear forensics is one of the activities to classify the sources of unidentified nuclear materials. Korea Institute of Nuclear Nonproliferation and Control (KINAC) has been conducting researches on this field continuously and the data-driven approaches have been studied as a forensic method for fresh and spent nuclear fuels in recent years. Under this circumstance, this article summarizes the methodologies implemented at KINAC and Kyung Hee University. It includes (1) study on identifiable signatures, (2) development of nuclear forensic library, and (3) research on classification algorithm for the identifiable signatures. There are various characteristics such as physical, chemical, and radiological properties, which are considered as the identifiable signatures of nuclear fuels. First, the fresh or spent fuel can be classified according to their radiation level. The impurities can be considered as the main signature for fresh fuels in case that they have generally a similar level of enrichment. The overall characteristics of multi-dimensional impurity dataset are extracted through Principal Component Analysis (PCA) and finally one-class Support Vector Machine (SVM) is used to classify the reactor types in which the fuel was used. In spent fuel forensics, the radionuclide mass through radiation analysis is focused on as a signature. The application of the classification of the reactor type using SVM and the regression analysis to predict the operational history, such as enrichment, burn up, and cooling time are investigated. The potential of data-drive methodologies for nuclear forensic is discussed.