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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.
E. Elias, Y. Segal, A. Notea
Nuclear Technology | Volume 21 | Number 1 | January 1974 | Pages 57-66
Technical Paper | Instrument | doi.org/10.13182/NT74-A31380
Articles are hosted by Taylor and Francis Online.
A gamma-ray transmission gauge was applied for the measurement of the interzone-layer parameters in an extraction tower. The “resolving power” function of the gauge was used to obtain the optimum design parameters, such as gamma-ray energy, source-to-detector distance, and gauge location on the separation tower. Results from a prototype gauge operated on a furfural extraction tower in the lubrication oil industry are presented and discussed. The mathematical model described here offers guidelines for analyzing similar gauging problems.