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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.
J. C. Mailen
Nuclear Technology | Volume 30 | Number 3 | September 1976 | Pages 325-332
Technical Paper | Uranium Resource / Chemical Processing | doi.org/10.13182/NT76-A31647
Articles are hosted by Taylor and Francis Online.
Correlations have been developed that use chemical equilibrium considerations to predict the operation of bubble-cap columns using hyperazeo-tropic nitric acid (Iodox system) to treat air streams containing I2 or CH3I. The error in predicting decontamination factors (DFs) by the developed equations is on the same order as the uncertainty in the DFs determined in experimental tests. Methyl iodide is trapped less efficiently than molecular iodine; this effect is explained by the lower distribution of methyl iodide to concentrated nitric acid from air. The presence of NO2 in the gas stream was calculated to cause a reduction in the DF for the first few stages, but with little effect on later stages.