ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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.
M. M. R. Williams
Nuclear Science and Engineering | Volume 160 | Number 2 | October 2008 | Pages 253-260
Technical Paper | doi.org/10.13182/NSE160-253
Articles are hosted by Taylor and Francis Online.
The resonance integrals and associated temperature coefficients in a mixture of graphite and randomly dispersed grains of ThO2 are calculated. Two methods of dealing with the random distribution of grains are used. The first is one developed by Lane, Nordheim, and Sampson, which is based upon a random Dancoff factor, and the second uses the dichotomic Markov process. The numerical results are compared for a range of grain sizes and ranges of temperature. The differences in the two methods do not exceed 4% for resonance integrals and 2.5% for temperature coefficients. Bearing in mind the radically different stochastic procedures involved, it is remarkable and useful to know that the results are so insensitive to the stochastic model used. In addition we give a measure of the variance in the results.
