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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.
H. S. Bailey, Y. S. Lu
Nuclear Technology | Volume 44 | Number 1 | June 1979 | Pages 76-82
Technical Paper | Reactor | doi.org/10.13182/NT79-A32239
Articles are hosted by Taylor and Francis Online.
A study of various core designs was conducted to investigate design features pertaining to the preclusion of energetic hypothetical core disruptive accidents. The design data and core layouts for different designs are described. A summary of the nuclear performance predicted for several typical low sodium void worth cores is presented. It appears that the tightly coupled heterogeneous core configuration offers a substantial reduction in prompt void worth and flux level at the expense of greater inventory, large flux gradients, and large changes in internal blanket power over the operating cycle.