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Division Spotlight
Operations & Power
Members focus on the dissemination of knowledge and information in the area of power reactors with particular application to the production of electric power and process heat. The division sponsors meetings on the coverage of applied nuclear science and engineering as related to power plants, non-power reactors, and other nuclear facilities. It encourages and assists with the dissemination of knowledge pertinent to the safe and efficient operation of nuclear facilities through professional staff development, information exchange, and supporting the generation of viable solutions to current issues.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
First astatine-labeled compound shipped in the U.S.
The Department of Energy’s National Isotope Development Center (NIDC) on March 31 announced the successful long-distance shipment in the United States of a biologically active compound labeled with the medical radioisotope astatine-211 (At-211). Because previous shipments have included only the “bare” isotope, the NIDC has described the development as “unleashing medical innovation.”
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.