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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.
J. R. Phillips, T. K. Marshall
Nuclear Technology | Volume 36 | Number 2 | December 1977 | Pages 222-228
Technical Paper | International Safeguard / Fuel | doi.org/10.13182/NT77-A31929
Articles are hosted by Taylor and Francis Online.
A precision gamma-scanning system was applied to the nondestructive determination of the isotopic distributions of 103Ru and 106Ru in two failed (U,Pu)O2 fuel pins irradiated in the Experimental Breeder Reactor II. Significant differences in the two distributions were measured that were related to the half-lives of the two ruthenium isotopes. The two distributions can be used to determine the relative times at which the ruthenium deposits were formed within the fuel material. This information may be used to determine nondestructively the changes within the central void region over a period of several irradiation cycles.