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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.
Charles R. Marotta
Nuclear Technology | Volume 42 | Number 3 | March 1979 | Pages 350-352
Technical Note | Reactor | doi.org/10.13182/NT79-A32192
Articles are hosted by Taylor and Francis Online.
A simple and accurate calculation method is presented for the variation of bubble worth in a molten core. The method depends on previous analysis of the author on reactivity increase due to compaction of unmoderated fissile systems. The average density of the fuel material after it has expanded into the bubble region is the controlling parameter of the proposed method. Comparison with detailed bubble worth calculations due to Nicholson and Goldsmith shows excellent agreement. Given a “quality” base worth case, the bubble worth variation for the perturbed system (of fuel, either moving into or out of the bubble volume) can be accurately calculated in terms of the base worth value. The proposed method can be used to evaluate the physical reasonableness of complex calculations using transport theory or Monte Carlo for estimates of bubble worth.