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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.
Kenji Motojima, Enzo Tachikawa, Hideo Kamiyama
Nuclear Technology | Volume 42 | Number 2 | February 1979 | Pages 172-179
Technical Paper | Thorium Fuel Cycle in a Breeder Economy / Chemical Processing | doi.org/10.13182/NT79-A32148
Articles are hosted by Taylor and Francis Online.
Cobalt ion in a flowing solution was adsorbed onto the oxine-impregnated activated charcoal in a column. The initial rate of adsorption, K. Am, is influenced by either the flow rate or the ion concentration of a feed solution. The rate increases with a decrease in the concentration of the ion. However, with a solution of <0.06 μg.ml-1 of the ion, the adsorption rate tends to be constant at 0.90 ± 0.06 min-1. A relation between feed application time and column depth (bed depth/service time) has been determined that qualitatively agrees with that obtained from a theoretical calculation. Feed application time for different concentrations and flow rates of feed solutions can be predicted by the bed depth/ service time relation with a limited accuracy.