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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.
S. R. Bierman, B. M. Durst, E. D. Clayton
Nuclear Technology | Volume 42 | Number 3 | March 1979 | Pages 237-249
Technical Paper | Reactor | doi.org/10.13182/NT79-A32178
Articles are hosted by Taylor and Francis Online.
Measurement data have been obtained from a series of criticality experiments on systems simulating fuel element shipping containers and fuel storage pools. The conditions investigated involved clusters of low enriched UO2 fuel rods immersed in water. The number of rods required for criticality near optimum neutron moderation and the critical separation between three subcritical clusters of these rods aligned in a row was determined for 2.35 wt% 235U-enriched rods and for 4.29 wt% 235U-enriched rods. The effect that the following fixed neutron absorbers had on the critical separation between these clusters of rods was also measured: