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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.
Lee A. James
Nuclear Technology | Volume 26 | Number 1 | May 1975 | Pages 46-53
Technical Paper | Material | doi.org/10.13182/NT75-A24403
Articles are hosted by Taylor and Francis Online.
Linear-elastic fracture mechanics techniques were employed to characterize the crack growth behavior of SA-351 Grade CF8 cast stainless steel over the temperature range 75 to 1200°F (24 to 649° C). In general, crack growth rates increased with increasing test temperature. The crack growth rates in the cast material generally fell within or below the scatter bands for wrought Types 304 and 316 material tested under similar conditions, implying that data obtained on wrought material would likely yield conservative results for crack growth analyses on cast structures.