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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.
N. J. McCormick, R. E. Schenter
Nuclear Technology | Volume 24 | Number 2 | November 1974 | Pages 149-155
Technical Paper | Reactor | doi.org/10.13182/NT74-1
Articles are hosted by Taylor and Francis Online.
Gas tagging consists of the addition to nuclear reactor fuel pins of small amounts of gas having a unique isotopic composition for each assembly; when an assembly fails during subsequent irradiation, the tag gas, which is released along with the fission gas, makes it possible to locate the defective assembly by a mass spectrometric analysis of the reactor cover gas. The usual gas tagging scheme employs only xenon; calculations are presented here which have led to the synergistic use of xenon and krypton for the fast flux test facility (FFTF) reactor. The ratios of the tag gas isotopic concentrations have been obtained for a preliminary design for the FFTF.