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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.
C. E. Meyer, C. L. Bennett, D. J. Hill, K. J. Dzikowski
Nuclear Technology | Volume 41 | Number 1 | November 1978 | Pages 27-35
Technical Paper | Reactor | doi.org/10.13182/NT78-A32130
Articles are hosted by Taylor and Francis Online.
A control bank redesign and a modified control strategy have been developed to improve load follow capabilities in commercial pressurized water reactors (PWRs). The use of controlled moderator temperature reductions adds to both load follow and return-to-power capability through an inherently negative moderator temperature coefficient. Using the new control strategy, a PWR can typically return from part power to at least a 90% power level at a 5%/min rate during daily load cycles, and also follow daily load cycles out to 98% of core life.