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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.
Keishi Matsumoto, Yoshio Ohta, Tadayuki Kataoka, Shigeji Yagi, Katsumi Suzuki, Teruo Yukitoshi, Taishi Moroishi, Kunihiko Yoshikawa, Yoshiaki Shida
Nuclear Technology | Volume 28 | Number 3 | March 1976 | Pages 452-470
Technical Paper | Reactor | doi.org/10.13182/NT76-A31526
Articles are hosted by Taylor and Francis Online.
To examine the compatibility with liquid sodium possessed by structural materials for liquid-metal fast breeder reactor (LMFBR) steam generators, tests were conducted on selected steels in a sodium loop facility. Mass-transfer behavior of specimens exposed to sodium flow were examined for three conditions: