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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.
Ronald D. Gasser, Mujid S. Kazimi
Nuclear Technology | Volume 33 | Number 3 | May 1977 | Pages 248-259
Technical Paper | Reactor | doi.org/10.13182/NT77-A31786
Articles are hosted by Taylor and Francis Online.
A two-dimensional transient freezing model is developed to study the dynamics of solidification of a fluid flowing in a cylindrical channel, the walls of which are cooled below the freezing temperature of the fluid. The model is applied to the case of molten fuel flowing downward through the coolant channels in the lower shielding structure of current liquid-metal fast breeder reactor designs subsequent to a hypothetical core meltdown accident. The results indicate that under postaccident conditions, a high potential exists for rapid relocation of significant quantities of core debris across the shield structure.