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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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.
L. Yettou
Nuclear Science and Engineering | Volume 183 | Number 2 | June 2016 | Pages 275-285
Technical Paper | doi.org/10.13182/NSE15-73
Articles are hosted by Taylor and Francis Online.
In this study, the calculations of proton emission spectra and of the excitation function produced by 63Cu(n, xp) and 63Cu(n, p)63Ni reactions, respectively, are used in the framework of preequilibrium models with the new version of the EMPIRE 3.2 code. Exciton Model predictions combined with the Kalbach angular distribution systematics and the Hybrid Monte Carlo Simulation (HMS) were used, and some necessary parameters have been investigated for our calculations. The comparison with experimental data shows clear improvement over the Exciton Model and HMS calculations.