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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.
V. Maly, E. Teuchert
Nuclear Technology | Volume 22 | Number 3 | June 1974 | Pages 331-334
Technical Paper | Fuel Cycle | doi.org/10.13182/NT74-A31418
Articles are hosted by Taylor and Francis Online.
A favorable distribution of fuel temperature in block-fuel HTGRs can be achieved by an axial shift in the power density toward the cooling gas inlet. This is of particular importance for advanced reactor applications requiring gas outlet temperatures above 900°C. The concept of axially graded heavy-metal densities and fuel enrichment allows for achieving and maintaining the desired asymmetrical power profile through the entire period of fuel insertion.