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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.
Victor R. Deitz, Leonard A. Jonas
Nuclear Technology | Volume 37 | Number 1 | January 1978 | Pages 59-64
Technical Paper | Radioisotope | doi.org/10.13182/NT78-A32091
Articles are hosted by Taylor and Francis Online.
The trapping or retention efficiency of impregnated charcoal beds for the vapor of methylradioiodide tagged with 131I was determined under various flow conditions by radioactive counting of each of eight equal-volume segments of the bed, including that of the large backup section. The trapping was catalytic in nature and obeyed first-order kinetics. Over a ten-fold change in residence time, the rate constant increased nonlinearly with increase in superficial linear velocity in accordance with theory.