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DOE, General Matter team up for new fuel mission at Hanford
The Department of Energy's Office of Environmental Management (EM) on Tuesday announced a partnership with California-based nuclear fuel company General Matter for the potential use of the long-idle Fuels and Materials Examination Facility (FMEF) at the Hanford Site in Washington state.
According to the announcement, the DOE and General Matter have signed a lease to explore the FMEF's potential to be used for advanced nuclear fuel cycle technologies and materials, in part to help satisfy the predicted future requirements of artificial intelligence.
R. C. Haight, J. D. Lee, J. A. Maniscalco
Nuclear Science and Engineering | Volume 61 | Number 1 | September 1976 | Pages 53-59
Technical Paper | doi.org/10.13182/NSE76-A28460
Articles are hosted by Taylor and Francis Online.
To validate the neutronics analysis of hybrid fusion-fission reactor blankets, calculations were made of an experiment by Weale et al., where a 14-MeV neutron source was surrounded by a natural uranium metal pile. The evaluated nuclear data libraries, ENDL and ENDF/B, were used. The calculated parameters were found to be in closer agreement for present versions of these libraries than for preceding versions; however, there were still 15% differences in the 235U(n,f) and 238U(n,f) reaction rates. The present version of ENDL gives the results that are the closest to the experimental values for these reactions. For the 238U(n, γ) reaction, the calculations with the ENDF/B libraries are closer to the measured values. Both the ENDL and ENDF/B evaluations, however, fail to calculate correctly the neutron leakage or derived values for the 238U(n,2n) and 238U(n,3n) reaction rates. The spatial variations of the 235U(n,f), 238U(n,y), 238U(n,f), and 239Pu(n,f) reaction rates show that the penetration of high-energy neutrons in the pile is better described by the calculation with ENDL, which gives a greater penetration. The effects of resonance self-shielding were investigated and found to require a much smaller correction than the differences between calculations with different data libraries.