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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.
Dariush Azimi-Garakani, John Garnett Williams
Nuclear Technology | Volume 36 | Number 3 | December 1977 | Pages 368-378
Technical Paper | Technique | doi.org/10.13182/NT77-A31950
Articles are hosted by Taylor and Francis Online.
Fission rates have been experimentally determined in the NISUS standard fast assembly, installed on the University of London Reactor CONSORT, with a Makrofol solid-state track recorder (SSTR). The results are compared with fission chamber measurements. The fission tracks were counted by the Quantimet 720. The optical efficiency of the Makrofol SSTR was found to be (94.6 ± 0.7)% for thin deposits. The measurements of 238U/235U fission ratio with SSTR showed a discrepancy of ∼3%o compared with those of the fission chamber.
