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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.
T. A. Whipple, D. L. Olson, W. L. Bradley, D. K. Matlock
Nuclear Technology | Volume 39 | Number 1 | June 1978 | Pages 75-83
Nuclear Safety Analysis | Energy Modeling and Forecasting / Material | doi.org/10.13182/NT78-A17009
Articles are hosted by Taylor and Francis Online.
The grain boundary of Armco Iron in liquid lithium, under the influence of steady-state creep, was investigated and showed a parabolic time dependence. An observed delay time for the grain boundary attack was correlated with the nucleation of a grain boundary corrosion product. The activation energies for creep and grain boundary penetration kinetics were found to be the same. Grain boundary penetration behavior under the influence of compressional stresses is the same as under the influence of tensile stresses, suggesting that plastic deformation controls the penetration kinetics regardless of the stress state that causes the plastic deformation.