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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. C. Morgan
Nuclear Technology | Volume 21 | Number 1 | January 1974 | Pages 50-56
Technical Paper | Material | doi.org/10.13182/NT74-A31379
Articles are hosted by Taylor and Francis Online.
A brief review of the theoretical and practical bases for the correlation of graphite irradiation data obtained in different experimental facilities has been used in the derivation of relationships for conversion of the fluence units Φ(E> 0.18MeV) and Φ(DIDO eq.), which have previously been most widely used for reporting graphite irradiation data, to the new international unit, ΦG, “equivalent fission fluence for damage in graphite.” Using the Thompson and Wright form of the atomic displacement function and the activation cross sections recommended by the International Nuclear Data Committee, with appropriate corrections for differences in cross sections used previously, the recommended conversion relationships are as follows:ΦG = <1.18 Φ (E > <0.18 MeV) <and ΦG = <1.77 Φ(<DIDO eq.).