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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.
S. Nazaré, G. Ondracek, B. Schulz
Nuclear Technology | Volume 32 | Number 3 | March 1977 | Pages 239-246
Technical Paper | Reactor | doi.org/10.13182/NT77-A31748
Articles are hosted by Taylor and Francis Online.
To describe the behavior of the molten core in the case of a loss-of-coolant accident with core melting, data on the properties of such core melts are required. These properties are dependent on the composition and structure of the melts. Available experimental evidence was used to define four types of melts that would occur, depending on the oxidation potential of the environment. Theoretical and experimental results were reviewed with a view to estimating such properties as heat capacity, viscosity, and thermal conductivity.