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Oklo continues plutonium fuel development with LANL and Nvidia partnership
Oklo announced a new partnership with Los Alamos National Laboratory and Nvidia to perform AI-enabled research on nuclear infrastructure and fuel.
The partnership is focused on exploring plutonium-bearing fuels, including the development of science-based AI models to support fuel validation and materials science and fabrication research and development. The team will also be exploring the development of nuclear-powered AI computing centers at LANL.
R. E. Dahl, H. H. Yoshikawa
Nuclear Science and Engineering | Volume 17 | Number 3 | November 1963 | Pages 398-403
Technical Paper | doi.org/10.13182/NSE63-A17388
Articles are hosted by Taylor and Francis Online.
Fast-neutron spectra have been computed using three different codes: GNU-II, HFN, GEHAPO-S-X. Significant differences in spectra are seen as one uses codes with varying degrees of refinement. GE-HAPO-S-X was chosen for calculating cross section values and testing damage models because of its greater accuracy and wider applicability. The calculations illustrate spectral differences existing at different points in a reactor lattice. The spectra are used to compute relative activation for such fast-neutron flux monitor materials as Ni58, Fe54, Am243 and to calculate gross vacancy production using widely varying damage models. From the results it is concluded that calculation of spectra in irradiation facilities is necessary for the proper reduction of monitor activities to neutron exposures and for correlation of observed radiation effects in materials irradiated in dissimilar facilities.