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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. A. Kelley, R. M. Wallace
Nuclear Technology | Volume 30 | Number 1 | July 1976 | Pages 47-51
Technical Paper | Radioactive Waste | doi.org/10.13182/NT76-A31622
Articles are hosted by Taylor and Francis Online.
A new and improved procedure was developed for determining leachabilities of proposed radioactive waste forms.Finely divided glass samples are leached in flowing deionized water; leached ions are continuously sorbed on ion exchange resins to control ionic quality. Sorbed ions are eluted from the resin columns for atomic absorption analyses. Leachabilities measured by this procedure are lower and more consistent than those made in stagnant water without continuous ionic control.