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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.
Abbas S. Al-Badri
Nuclear Technology | Volume 25 | Number 3 | March 1975 | Pages 580-584
Technical Paper | Technique | doi.org/10.13182/NT75-A24396
Articles are hosted by Taylor and Francis Online.
Four boreholes were drilled in the Iraqi Western Desert area, and many isotope injection experiments were carried out to determine the effective porosity, permeability, transmissibility, storage coefficient, and velocity of the underground water flow using 131I as a radioactive tracer. The results indicate that the critical hydrological parameters (effective porosity, permeability, transmissibility, and storage coefficient) of the aquifer and the quantity of the water are adequate to provide sufficient high-quality water suitable for economic utilization. The radioactive technique used in drawdown for permeability, transmissibility, and storage coefficient measurements is specific and gave good results, whereas the classical method might be subject to technical operation errors.