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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.
M. C. J. Carlson
Nuclear Technology | Volume 22 | Number 3 | June 1974 | Pages 335-359
Technical Paper | Material | doi.org/10.13182/NT74-A31419
Articles are hosted by Taylor and Francis Online.
Densification of mixed oxide fuel in Liquid Metal Fast Breeder Reactor (LMFBR) during irradiation is demonstrated to be predictable through knowledge of original pore size distribution which is controllable in fabrication. Quantitative measurements of pore size distributions before and after irradiation cover the range of fuel structure and irradiation conditions typical of the Fast Flux Test Facility (FFTF). Pore diameter change is accurately described by: