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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.
Y. H. Bouget, M. Cosimi, P. Hammer, G. Humbert, F. Lyon, M. Martini
Nuclear Technology | Volume 44 | Number 1 | June 1979 | Pages 61-75
Technical Paper | Reactor | doi.org/10.13182/NT79-A32238
Articles are hosted by Taylor and Francis Online.
Experimental and theoretical work is now in progress at the Commissariat à l’Energie Atomique to support the sodium mixed-oxide fast reactor design calculations of the heterogeneous concept. The results obtained with the calculational method presently used are compared to the experimental values given by the PRE-RACINE program performed on the MASURCA facility. The following parameters are studied: