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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.
W. L. Chen
Nuclear Technology | Volume 25 | Number 3 | March 1975 | Pages 471-476
Technical Paper | Reactor | doi.org/10.13182/NT75-A24385
Articles are hosted by Taylor and Francis Online.
A simple method has been developed for calculation of transient heat losses that occur as a hot fluid produced during a liquid-metal fast breeder reactor hypothetical core-disruptive accident expands through the fission-gas plenum region. The heat-conduction equation of the plenum cladding is formally solved by the Laplace transform for a time-dependent cladding surface temperature, and the resulting solution is numerically evaluated using an integration method based on the trapezoidal rule. The expanding hot fluid may be a two-phase mixture of sodium produced by a fuel-coolant interaction or a two-phase mixture of fuel produced by a severe nuclear excursion. Illustrative calculations have been performed considering a hypothetical fuel-coolant interaction in the Fast Flux Test Facility core.