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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.
John R. Wiley
Nuclear Technology | Volume 43 | Number 2 | April 1979 | Pages 268-272
Technical Paper | The Back End of the Light Water Reactor Fuel Cycle / Fuel Cycle | doi.org/10.13182/NT79-A16317
Articles are hosted by Taylor and Francis Online.
Borosilicate glasses containing actual high-level Savannah River Plant waste were leached in static, distilled water. Leach rates based on 90Sr, 137Cs, and plutonium analyses were similar: 10−5 to 10−6 g of glass/(cm2·day) initially, 10−7 to 10−8 g/(cm2·day) after two weeks, and 10−8 to 10−9 g/(cm2·day) after 100 days. The leach rates were not directly correlated with waste composition, but were qualitatively related to the tendency of the glass to devitrify that could be caused by certain combinations of waste components. According to a proposed model, leach rates were diffusion-controlled during the entire 100-day test.