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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.
R. E. Kaiser
Nuclear Technology | Volume 25 | Number 1 | January 1975 | Pages 138-149
Technical Paper | Instrument | doi.org/10.13182/NT75-A24356
Articles are hosted by Taylor and Francis Online.
Analytical corrections for the effect of subcritical reactivity on /βeff, detector efficiency, and 240Pu source worth in control-rod-group worth measurements in zero-power plutonium reactor Assembly 3 have been evaluated. Calculations of each factor were performed for a number of subcritical configurations in Phases 1B and 2; the results are presented and compared to the critical reference case. An evaluation of the method is included to establish a logical and efficient procedure for determining such corrections for future assemblies, which shows that extrapolations between similar configurations can be made accurately on the basis of only one or two rod patterns.