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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. Raum, G. Bronner, W. D. Krebs
Nuclear Technology | Volume 29 | Number 3 | June 1976 | Pages 428-432
Technical Paper | Fusion Reactor Material / Fuel | doi.org/10.13182/NT76-A31607
Articles are hosted by Taylor and Francis Online.
The reactivity transient following a control rod step strongly depends on quantities that determine the thermal reactivity feedback. For the special case of a pressurized water reactor, these quantities are the reactivity temperature coefficients and the heat transfer between fuel and coolant. Therefore, it is possible to determine these quantities by fitting appropriate model calculations to measured reactivity transients. This so-called “rod step method” was extensively applied for the first time in the first cycle of the nuclear power plant KCB at Borssele in the Netherlands. The values of the heat transfer between fuel and coolant and those of the fuel temperature coefficient that are obtained by this method agree well with the theoretically expected behavior with increasing core burnup.