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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. L. Krankota, J. S. Armijo
Nuclear Technology | Volume 24 | Number 2 | November 1974 | Pages 225-233
Technical Paper | Material | doi.org/10.13182/NT74-A31477
Articles are hosted by Taylor and Francis Online.
Recent data and published data on the de-carburization kinetics of Cr—1% Mo steel in sodium from 800 to 1300°F were correlated by expressing changes in bulk carbon content of samples of different thicknesses and geometry as carbon loss per unit of surface area exposed to sodium. This parameter, when plotted as a function of the square root of time, produced straight lines consistent with the expected diffusion control of the decarburization process. New data from this investigation yielded a decarburization rate constant that was in excellent agreement with the correlation obtained from the published data. A design curve prepared from the correlation was used to predict the end-of-life carbon contents of typical steam generator tubes in sodium systems.