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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.
Lucy W. Person
Nuclear Technology | Volume 41 | Number 2 | December 1978 | Pages 252-256
Technical Note | Extraction of Energy From Nuclear Fuels Without Reprocessing to Separate Plutonium / Reactor | doi.org/10.13182/NT78-A32109
Articles are hosted by Taylor and Francis Online.
The SPOOL-FIRE code has been used with the response surface method and a Monte Carlo simulation to study sodium fire accidents. The study provides a simple method of estimating the radioactive release via containment leakage; the sensitivity of the output consequences to the variations in the input parameters is also presented.