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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.
Jon L. Maienschein
Nuclear Technology | Volume 38 | Number 3 | May 1978 | Pages 387-404
Technical Paper | Chemical Processing | doi.org/10.13182/NT78-A32037
Articles are hosted by Taylor and Francis Online.
Chemical getters can be used to scavenge tritium from inert gases. Cerium, which forms a hydride with a low dissociation pressure, has a high reactivity and is relatively inexpensive. It is a good candidate getter material for such a scavenger system. Mathematical models for fixed and fluidized bed reactors predict satisfactory performance. Therefore, the gettering concept warrants further investigation.