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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.
L. W. Ward
Nuclear Technology | Volume 26 | Number 3 | July 1975 | Pages 247-253
Technical Paper | Reactor | doi.org/10.13182/NT75-A24426
Articles are hosted by Taylor and Francis Online.
The behavior of the primary system coolant in a pressurized water reactor during a small-break loss-of-coolant accident (LOCA) is governed by the hydrostatic forces that develop in the system. Digital simulation of the hydrostatic interactions during a small-break LOCA can be achieved with simplified nodal representations that significantly reduce computer times. The simplification process can be successfully achieved by combining primary system regions that behave symmetrically while preserving the basic manometer or U-tube design of the system. The simplified nodal representations have the capability of assessing the hydrostatic effects on the blowdown for the spectrum of small breaks wherein detailed model computations become economically prohibitive for parametric analyses of emergency core cooling systems.