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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.
I. O. Bohachevsky, J. F. Hafer
Nuclear Technology | Volume 41 | Number 3 | December 1978 | Pages 299-311
Technical Paper | Reactor | doi.org/10.13182/NT78-A32115
Articles are hosted by Taylor and Francis Online.
Functions that describe the empirically and theoretically determined behavior of sputtering coefficients are devised and used to calculate erosion rates and total erosion of surfaces bombarded by ion beams of specific intensity. Presented are analytic expressions that describe the effects of ion energy and angle of incidence, computational procedures, and analytically and numerically obtained results. Analytic results express the total amount of material eroded per microexplosion in terms of fuel pellet mass, energy yield, and a representative atomic number. Numerically calculated erosions of niobium, carbon, and iron surfaces bombarded by alpha, triton, deuteron, and heavy metal ions indicate that for fuel pellets with heavy metal shells, sputtering erosion should be carefully considered and properly designed for.