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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.
E. Kujawski, R. Protsik
Nuclear Technology | Volume 41 | Number 1 | November 1978 | Pages 36-45
Technical Paper | Reactor | doi.org/10.13182/NT78-A32131
Articles are hosted by Taylor and Francis Online.
A practical method for self-shielding resonance cross sections for fast reactors with complex heterogeneity results in a multiregion equivalence relation that is identical in appearance to the conventional two-region equivalence relation. The effects of heterogeneity are accounted for in terms of material- and region-dependent escape cross sections. The escape cross sections are explicitly given in terms of the first-flight collision probabilities or transport coefficient. The formulation is well suited for use with the shielding factor method. A detailed validation of the heterogeneity calculations with the proposed formulation has been carried out for plate-type cells, and good agreement with Monte Carlo results has been obtained. Sensitivity studies were performed to compare the proposed multiregion heterogeneity treatment with conventional two-region treatments. The results suggest that it may be important to self-shield explicitly and heterogeneously all the fuel and structural materials in the analysis of fast critical assemblies.