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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
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
Norway’s Halden reactor takes first step toward decommissioning
The government of Norway has granted the transfer of the Halden research reactor from the Institute for Energy Technology (IFE) to the state agency Norwegian Nuclear Decommissioning (NND). The 25-MWt Halden boiling water reactor operated from 1958 to 2018 and was used in the research of nuclear fuel, reactor internals, plant procedures and monitoring, and human factors.
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.