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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. A. Naber, N. A. Lurie
Nuclear Technology | Volume 36 | Number 1 | November 1977 | Pages 40-47
Radiation Environments in Nuclear Reactor Power Plant | Reactor | doi.org/10.13182/NT77-A31956
Articles are hosted by Taylor and Francis Online.
Equipment used in nuclear power reactors requires qualification to environments expected under both postulated accident and aging conditions. Proper simulation of the radiation environments requires a knowledge of the reactor radiation fields as well as an understanding of the physical mechanisms of radiation effects, including dose-rate effects, total dose effects, depth-dose effects, heating, induced electrical conductivity, and synergistic effects. In general, radiation qualification programs have not given sufficient attention to the above topics, partly because of the complexity of the problem and partly because of lack of detailed knowledge of the proper conditions to use for testing. A solution to this problem will require a careful characterization of the reactor environments, an identification of the limiting damage mechanisms, and analytical and experimental studies to determine reasonable but meaningful qualification testing procedures.