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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.
F. A. Koehler, Jr., B. D. Craft, J. Ashe, H. A. Woltermann
Nuclear Technology | Volume 25 | Number 3 | March 1975 | Pages 497-501
Technical Paper | Chemical Processing | doi.org/10.13182/NT75-A24387
Articles are hosted by Taylor and Francis Online.
Mound Laboratory is engaged in the recovery of tritium from waste materials generated at U.S. Atomic Energy Commission sites. A scrubber system for tritium removal has been designed and constructed at Mound Laboratory. The solutions to be analyzed are first boiled to dryness, and then baked 1 h at 500°C using H2SO4, HCl, or HNO3 as a carrier. The vapors from these solutions are passed through (a) a condenser to remove the bulk of the acid vapors, (b) an NaOH scrubber to remove acid fumes, (c) a mist eliminator to entrap fine mist particles, and (d) a molecular sieve bed to remove all traces of tritiated water. Environmental release is monitored by a Kanne electrometer system which measures the tritium content of the effluent. Use of the scrubber system yields residues with beta counts of <50 count/min with minimal release of tritium to the environment.