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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.
Arne Jensen
Nuclear Technology | Volume 39 | Number 3 | August 1978 | Pages 283-288
Technical Paper | Fuel | doi.org/10.13182/NT78-A32058
Articles are hosted by Taylor and Francis Online.
The performance of the present-day Zircaloy-UO2 fuel design for water-cooled reactors has for several years been intensively examined and modeled. The established know-how is used as a background for the suggestion of a new design, named LOWI (LOW-Interaction), which, by merely introducing a small change in the arrangement of the fuel material, should lead to an improved performance with respect to mechanical interaction and, at the same time, should reduce the fuel center temperature and therefore consequently reduce the stored energy. Considerations that form the basis for the LOWI design are supported by the calculational results of some of the more important aspects. The design has been initially evaluated in an irradiation experiment, and the test results have generally supported the objectives of the design change.