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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
R. O. Meyer, C. R. Hann, D. D. Lanning
Nuclear Technology | Volume 27 | Number 3 | November 1975 | Pages 389-393
Technical Paper | Fuel | doi.org/10.13182/NT75-A24312
Articles are hosted by Taylor and Francis Online.
Plutonium segregation during normal operation is not expected in light water reactor (LWR) plutonium recycle fuels, but it could occur if these fuels were operated in a sustained overpower condition. Existing thermal performance and neu-tronic computer codes have been used to compare the effects of postulated segregation with the behavior of homogeneous fuels. Central void formation, which should accompany plutonium segregation, reduces fuel temperatures markedly; but even if a central void is assumed not to form, the fuel’s centerline temperature stored energy, and melting point are not significantly affected by the postulated segregation. It is concluded that plutonium segregation is not an important phenomenon in LWR plutonium recycle fuels.