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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. D. Clayton, B. M. Durst
Nuclear Technology | Volume 33 | Number 1 | April 1977 | Pages 110-111
Technical Note | Chemical Processing | doi.org/10.13182/NT77-A31768
Articles are hosted by Taylor and Francis Online.
Calculations of the infinite multiplication factor for aqueous homogeneous mixtures of mixed oxides of plutonium and natural uranium at low fissile concentrations (7 g Pu/ℓ ) disclose a maximum to occur in the value of k∞ at a weight fraction, Pu/(Pu + U), of ∼0.0035. With mixed oxide solutions containing 7 g Pu/ℓ, the value of k∞ is estimated to be nearly 1.04, whereas in the absence of the natural uranium, the maximum value of k∞ at 7 g Pu/ℓ in water is ∼4% less or near unity. The occurrence of this peak in value of k∞ is due to the 235U content in the natural uranium. Thus, in the presence of natural uranium, it should be borne in mind that the limiting subcritical concentration of plutonium (given as 7.0 g Pu/ℓ) in water must be reduced to values <7.0 g Pu/ℓ to ensure sub criticality of the mixture.