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Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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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
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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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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.
Ho Jin Park, Hyung Jin Shim, Chang Hyo Kim
Nuclear Science and Engineering | Volume 167 | Number 3 | March 2011 | Pages 196-208
Technical Paper | doi.org/10.13182/NSE09-106
Articles are hosted by Taylor and Francis Online.
A new formulation aimed at quantifying uncertainties of Monte Carlo (MC) tallies such as keff and the microscopic reaction rates as well as nuclide number density estimates in MC depletion analysis is presented. It is shown that when the two major MC inputs - the microscopic cross sections and nuclide number densities - are assumed to have uncertainties, the variance of a given MC tally used as a measure of its uncertainty in this formulation arises from four sources: the statistical uncertainty of the MC tally, uncertainties of microscopic cross sections and nuclide number densities, and the cross correlations between them and the latter three contributions can be determined by computing correlation coefficients between uncertain variables. It is also shown that the variance of any given nuclide number density at the end of each depletion time step (DTS) stems from uncertainties of the nuclide number densities and microscopic reaction rates of nuclides at the beginning of each DTS, and they are determined by computing correlation coefficients between these two uncertain variables. The new formulation is incorporated into the Monte Carlo Code for Advanced Reactor Design (McCARD) of Seoul National University, and a McCARD depletion analysis for a U-TRU-Zr fuel assembly is performed to examine quantitatively the uncertainty propagation behavior of MC tallies such as k and the number densities of actinides as a function of DTS. The results demonstrate that the formulation is useful not only for quantifying the uncertainty propagation analysis in MC depletion analysis but also for identifying the types of nuclear cross-section data that need to be improved to obtain a more reliable incineration physics analysis of the transuranium fuel.