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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. R. Hopkins, John M. Rawls
Nuclear Technology | Volume 36 | Number 2 | December 1977 | Pages 171-186
Technical Paper | International Safeguard / Reactor | doi.org/10.13182/NT77-A31924
Articles are hosted by Taylor and Francis Online.
Impurity radiation from plasmas of densities typical of tokamaks and mirrors is examined for a variety of impurity species over a wide temperature range. Calculations indicate that radiative losses are enhanced during the early phase of the stripping process and that the radiation is much greater at temperatures characteristic of many-electron atoms than had been generally recognized by the plasma physics community. These results are useful in the analysis of the energy balance in tokamaks and give important constraints on the choice of wall materials.