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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.
James E. Struve, Nick Tsoulfanidis
Nuclear Technology | Volume 21 | Number 3 | March 1974 | Pages 201-207
Technical Paper | Material | doi.org/10.13182/NT74-A31390
Articles are hosted by Taylor and Francis Online.
Calculations of the tritium breeding ratio and heating rates for two proposed blanket designs are obtained by using the Monte Carlo method. The materials used for the blanket are vanadium and lithium. Lithium is used to slow down the neutrons and produce tritium by the He and He reactions. Vanadium is used as the structural material. Results obtained indicate that a tritium breeding ratio of 1.3 is easily obtained by either design and that the heating rates for both designs are similar. These results are in general agreement with previous studies of fusion reactor blankets which used niobium as the structural material.