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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.
Sidney Oldberg, Jr., Richard C. Honey, David G. Falconer, Edwin L. Zebroski
Nuclear Technology | Volume 33 | Number 2 | April 1977 | Pages 231-234
Technical Paper | Instrument | doi.org/10.13182/NT77-A31780
Articles are hosted by Taylor and Francis Online.
A method has been demonstrated for imaging details of the fuel-cladding gap region in nuclear fuel rods. The method exploits the geometry-sensitive variation in fuel-cladding gap conductance. After rapid electric resistance heating of the cladding tube by discharge of a capacitor bank, those regions of cladding cool first that have narrow fuel-cladding gaps. The cladding surface temperature is recorded by an infrared camera with a cathode ray tube display . Potential is seen for the measurement technique as a research tool and as a receiving inspection method.