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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. B. Sun, H. D. Warren
Nuclear Technology | Volume 36 | Number 3 | December 1977 | Pages 249-261
Technical Paper | Reactor | doi.org/10.13182/NT77-A31939
Articles are hosted by Taylor and Francis Online.
To determine the accuracy of the neutron transport computer code used to predict 16N production rates, data on 16O(n, p)16N reaction rates were obtained by performing an 16O activation experiment. Measured absolute 16N production rates are compared to the calculated data. The comparison indicates that calculations using ENDF/B-II data consistently overestimate 16N production rates by a factor that ranges from 1.06 to 2.00. Good agreement between measurements and ENDF/B-IV calculations reveals that the latest version of the nuclear data used in the code is remarkably improved over previous versions.
