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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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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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.
F. Rahnema, G. C. Pomraning
Nuclear Science and Engineering | Volume 77 | Number 4 | April 1981 | Pages 438-443
Technical Paper | doi.org/10.13182/NSE81-A18956
Articles are hosted by Taylor and Francis Online.
It is well known that for a large reactor a diffusion calculation of the system eigenvalue (criticality) is weakly dependent on the linear extrapolation distance γ. We characterize this weak dependence by a smallness parameter ϵ, and show that the complete neglect of γ leads to an error in the computed eigenvalue of the order of ϵ, whereas the use of an extrapolated endpoint introduces an error of the order of ϵ2. An explicit formula, which preserves the ϵ2 error characteristics, is derived which gives an energy independent extrapolated endpoint in terms of the energy-dependent linear extrapolation distance.