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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.
Michael M. Paxton, Jerry L. Straalsund
Nuclear Technology | Volume 25 | Number 3 | March 1975 | Pages 546-552
Technical Paper | Material | doi.org/10.13182/NT75-A24392
Articles are hosted by Taylor and Francis Online.
The effect of composition on the 1-, 100-, and 1000-h recrystallization temperature of 20% cold-worked Type 316 stainless steel was determined by using hardness measurements. The study was performed on 45 different alloys, based on Type 316 stainless steel; compositional variations were in carbon, nitrogen, phosphorus, sulfur, boron, manganese, copper, silicon, molybdenum, cobalt, chromium, and nickel. Relatively minor compositional changes can markedly increase or decrease cold-work stability.