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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.
W. F. Vogelsang, G. L. Kulcinski, R. G. Lott, T. Y. Sung
Nuclear Technology | Volume 22 | Number 3 | June 1974 | Pages 379-391
Technical Paper | Material | doi.org/10.13182/NT74-A31422
Articles are hosted by Taylor and Francis Online.
Calculations have been performed to assess the effects of fast-neutron-induced transmutation reactions in the blanket region surrounding the plasma in a Tokamak fusion reactor. The production of both stable and radioactive isotopes is considered in three structural materials suggested for CTRs; Type 316 stainless steel, niobium—1% zirconium, and vanadium—20% titanium. The results show that significant changes in the composition of the alloys will be produced along with the generation of large amounts of helium and radioactivity. Of the three alloys studied from the point of view of chemical changes, radioactivity, and afterheat, the vanadium—20% titanium alloy appears to be most favored followed by Type 316 stainless steel and niobium—1% zirconium.