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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.
B. R. Sehgal, R. H. Rempert
Nuclear Technology | Volume 25 | Number 2 | February 1975 | Pages 390-405
Technical Paper | Material Dosimetry / Material | doi.org/10.13182/NT75-A24376
Articles are hosted by Taylor and Francis Online.
Analyses of an extensive series of reaction-rate measurements done recently in the Experimental Breeder Reactor II (EBR-II) runs 50G and 50H were performed with transport theory and diffusion theory codes using detailed representations of the loadings in XY, RZ, and XYZ geometry and broad-group cross sections derived from the ENDF/B-I and -III data files. It was found possible to predict the measured relative reaction rates quite accurately within the core region; however, there are substantial differences in the radial blanket and axial reflector regions. Analyses of the absolute reaction-rate measurements in EBR-II run 50H have provided additional evidence that the reactor operates ≅ 9% below the nominal power level of 62.5 MW(th). Differences were observed between the calculated reaction rates using the ENDF/B-I and -III data files for the stainless-steel/sodium axial reflector regions in the EBR-II