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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.
R. T. Santoro, V. C. Baker, J. M. Barnes
Nuclear Technology | Volume 37 | Number 3 | March 1978 | Pages 274-295
Technical paper | Reactor | doi.org/10.13182/NT78-A31995
Articles are hosted by Taylor and Francis Online.
One-dimensional neutronic and photonic calculations have been carried out using the discrete-ordinates code ANISN to compare the nuclear performance of blanket and shield designs proposed for use in the Tokamak Experimental Power Reactor. The radiation transport was accomplished using cross-section data from the DLC-37 library (ENDF/B-IV). Nuclear heating and radiation damage rates were estimated using the latest available nuclear response functions. The nuclear analysis was performed for both nonbreeding and tritium-breeding blanket modules to compare the spatial variations of the radiation flux and energy distributions, nuclear heating, radiation damage, and tritium breeding. The nonbreeding blanket modules that utilize potassium plus Type 316 stainless steel or potassium only as the neutron and gamma-ray energy absorbing medium, and breeding blanket modules that use natural lithium as the fertile material were also evaluated as a function of the first wall cooling scheme.