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Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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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Fusion Science and Technology
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.
S. K. Ho, F. J. Brechtel, T. Kenneth Fowler
Fusion Science and Technology | Volume 23 | Number 3 | May 1993 | Pages 321-330
Technical Paper | Safety/Environmental Aspect | doi.org/10.13182/FST93-A30160
Articles are hosted by Taylor and Francis Online.
A simplified scaling law approach for calculating activation-induced radioactive inventories is extended and applied. The goal is to provide a sufficiently accurate, very fast method to calculate activation radioactive inventories as an integral part of tokamak system design codes. The method is applied to a silicon carbide first wall, but now all relevant daughter nuclides are considered, and the results are used to calculate various indexes that can be used to characterize environmental and safety characteristics of fusion reactors. The indexes obtained from the scaling laws are in reasonable agreement with those derived from inventories calculated directly from more time-consuming Monte Carlo methods.