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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.
S. Banerjee, F. W. Barclay
Nuclear Technology | Volume 43 | Number 1 | April 1979 | Pages 55-62
Techinical paper | Fuel Cycle | doi.org/10.13182/NT79-A16174
Articles are hosted by Taylor and Francis Online.
Thorium cycles in heavy-water-moderated pressure tube reactors are expected to lead to much better nuclear fuel utilization than the current natural uranium once-through fuel cycle. The extent to which various parameters affect fuel cycle economics and uranium requirements during the approach to equilibrium conditions for first-generation plutonium-topped thorium cycle reactors has been studied. The results are compared with systems in which equilibrium has been achieved to elucidate the significant differences between first- and second-generation thorium cycle reactors.