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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.
G. W. McNair, K. L. Peddicord
Nuclear Technology | Volume 40 | Number 3 | October 1978 | Pages 306-314
Technical Paper | Fuel | doi.org/10.13182/NT78-A26728
Articles are hosted by Taylor and Francis Online.
A method is presented to calculate two-dimensional temperature profiles in fuel pins with eccentrically placed fuel pellets. This is implemented in a finite difference program. By requiring continuity of the radial and angular components of the heat flux vector across the gas gap, an angular-dependent thermal conductivity is derived to account for the eccentric condition. The method is compared with another approach in which the fuel pellet surface is approximated by a “ratchet” boundary. Similar results for temperatures were obtained from both calculations, but the “modeled conductivity” method presented here showed significant gains in computing time and storage requirements.