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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.
A. L. Marston
Nuclear Technology | Volume 25 | Number 3 | March 1975 | Pages 576-579
Technical Paper | Analysis | doi.org/10.13182/NT75-A24395
Articles are hosted by Taylor and Francis Online.
A laser-Raman spectrometric method was developed for the determination of polyatomic ions in alkaline high-level radioactive waste super-nates. From peak heights of well-resolved Raman hands, concentrations of NO2−, SO42−, CrO42−, PO43−, and Al(OH)4− ions are determined relative to NO3− ion concentrations in raw solutions. The concentration of an NO3− ion is determined independently by quantitative dilution of an aliquot with standardized 2M NaClO4. The relative precision at the 95% confidence level for a single determination is ±5%. Although Savannah River Plant waste samples are pale yellow and turbid, centrifugation clarifies them sufficiently for reproducible spectra to be recorded with 488-nm Ar+ excitation.