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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.
C. K. Tzou, C. M. Yang
Nuclear Technology | Volume 24 | Number 2 | November 1974 | Pages 246-251
Technical Paper | Analysis | doi.org/10.13182/NT74-A31480
Articles are hosted by Taylor and Francis Online.
A cold fuel assay method has been developed for nondestructive burnup determination by gamma-ray spectroscopy. This method utilizes the product of neutron flux and time as one variable to avoid tedious treatment of neutron flux, resident time, and intermittent type of iteration. No chemical or mass spectroscopic analysis is needed; only the photopeak of 137Cs needs to be analyzed. The method has been applied to fuel element No. 25 of the Tsin-Hua open-pool reactor for burnup calculation. A 35-cm3 Ge(Li) detector connected to a 1024 MCA was used.