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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. S. Okawara, A. A. Harms
Nuclear Technology | Volume 31 | Number 2 | November 1976 | Pages 250-256
Technical Paper | Instrument | doi.org/10.13182/NT76-A31687
Articles are hosted by Taylor and Francis Online.
Neutron radiography of dynamic processes is investigated. It is found that resonance-converter neutron imaging represents a promising technique for high-speed radiography. Theoretical results, obtained using edge-spread function analysis, were found to be in very good agreement with experimental observations. It is concluded that mathematical modeling can be used effectively to predict the dominant image quality characteristics of neutron radiographs of very fast transient processes.