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Division Spotlight
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.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
May 2025
Latest News
Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
P.A. Davis T.G. Kotzer, W.J.G. Workman
Fusion Science and Technology | Volume 41 | Number 3 | May 2002 | Pages 453-457
Environment | Proceedings of the Sixth International Conference on Tritium Science and Technology Tsukuba, Japan November 12-16, 2001 | doi.org/10.13182/FST02-A22630
Articles are hosted by Taylor and Francis Online.
In the past few years, five separate studies have been undertaken at AECL's Chalk River Laboratories to determine the levels of tritium in the environment due to routine releases from an experimental heavy water reactor. Data from these studies are presented in terms of the ratios of the long-term average tritium concentrations in precipitation, soil and plants to the long-term average HTO concentration in air moisture. The data are used to assess the performance of models that predict long-term average tritium concentrations in the environment.