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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.
David G. Cain, Carleton G. Foster
Nuclear Technology | Volume 36 | Number 3 | December 1977 | Pages 275-284
Technical Paper | Reactor | doi.org/10.13182/NT77-A31941
Articles are hosted by Taylor and Francis Online.
Recent concern of possible deterioration in the dynamic response of safety-related sensors has led to broadened U.S.. Nuclear Regulatory Commission requirements in periodic testing. Time response checks must now extend through the entire protection channel, including the sensor element. To accommodate this requirement, a testing unit and test methodology were developed to permit practical in-situ response measurement for pressure and differential pressure transducers. Comparison tests were made against Statham strain gauges and a representative sample of pressure sensors in commercial use. These tests served to validate the test approach and also to characterize dynamic behavior of sensors employed in safety applications. Supplementary investigations of test accuracy and potential sensor-line effects were performed.