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Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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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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.
J. M. Kontoleon
Nuclear Science and Engineering | Volume 70 | Number 3 | June 1979 | Pages 315-317
Technical Note | doi.org/10.13182/NSE79-A20155
Articles are hosted by Taylor and Francis Online.
This Note analyzes the availability of supervised protective systems for nuclear reactors. Failure and repair times are assumed to be exponentially distributed. The availability is maximized, subject to a given fixed amount of resources, by determining the optimum distribution of resources between supervision and repair facilities and by selecting the optimum active-inactive times of the supervisor. The mathematical formulation employs a Markov model continuous in time and alternating between two and three discrete states. Maximization of availability is achieved by using a modified pattern search technique. Computer results illustrate the usefulness of the approach.