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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.
R. D. Mosteller*, Warren M. Andrews, Odelli Ozer, W. J. Eich
Nuclear Technology | Volume 44 | Number 1 | June 1979 | Pages 192-197
Technical Note | Fuel Cycle | doi.org/10.13182/NT79-A32252
Articles are hosted by Taylor and Francis Online.
The adequacy of the Advanced Recycle Methodology Program for predicting isotopic ratios as a function of exposure is determined for a light water reactor of modern design. For the first time, the capabilities of a two-dimensional multigroup transport theory code have been applied to the calculation of isotopic parameters for a commercial U.S. pressurized water reactor. The calculated results are found to be in satisfactory agreement with benchmark measurements. However, captures in seem to be underpredicted when ENDF/B-IV (or ENDF/B-III) resonance parameters for the 1.056-eV resonance are used in the calculations.