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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.
C. L. Schuske, D. Dickinson
Nuclear Technology | Volume 25 | Number 1 | January 1975 | Pages 72-82
Technical Paper | Chemical Processing | doi.org/10.13182/NT75-A24350
Articles are hosted by Taylor and Francis Online.
Experimental criticality measurements have been made on assemblies of plutonium metal to design a crucible that can safely melt up to 12 kg of plutonium. In addition, in situ experiments on two prototype crucibles and furnace setups confirmed the 12-kg capacity. These crucible designs were responsible for a considerable savings in initial capital and operating expense for a new plant. A comparison of Monte Carlo calculations and experimental measurements indicated that the calculational method is sufficiently accurate to be used in future crucible designs, rather than a series of critical mass measurements. The cost for a calculational study is less than 2% of the cost of an experimental study.