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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.
M. A. Hoffman
Nuclear Technology | Volume 44 | Number 3 | August 1979 | Pages 346-356
Technical Paper | Reactor | doi.org/10.13182/NT79-A32271
Articles are hosted by Taylor and Francis Online.
The grid wires in the accelerator region of neutral beam injectors can be subjected to high heat fluxes from charge-exchange ion impingement, electron impingement, and radiation. Since the actual values for these heat fluxes are not yet well known, it is useful to determine the limits on the allowable heat flux for various grid cooling schemes. The first example chosen for this parametric study is the potentially interesting case of helium-cooled TZM grid tubes. The results indicate that sputtering and thermal deflections are the two most severe limits on the heat flux that can be tolerated by the grids.