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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.
László Maróti
Nuclear Technology | Volume 34 | Number 1 | June 1977 | Pages 8-17
Technical Paper | Reactor | doi.org/10.13182/NT77-A31825
Articles are hosted by Taylor and Francis Online.
For determining the axial distribution of void fraction in subcooled boiling, the heat balance equations of vapor production and liquid heating were used. Solution of these equations required adequate expressions for the vapor generation and condensation rates. The vapor generation rate was expressed as the superheated part of the thermal boundary layer enthalpy, while the condensation rate could be derived as the subcooled part of the thermal boundary layer enthalpy. The resulting quality distribution was converted into the void distribution using the Zuber and Findlay void correlation. The model was checked by comparing measured data available in the open literature with calculated results, and surprisingly good agreement was found.