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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.
Clarence E. Lee, Terry C. Wallace
Nuclear Technology | Volume 25 | Number 1 | January 1975 | Pages 124-137
Technical Paper | Material | doi.org/10.13182/NT75-A24355
Articles are hosted by Taylor and Francis Online.
An equilibrium thermodynamical model is developed for the time-dependent interstitial diffusion process in a temperature gradient in binary compounds. A new analytical solution is obtained from a linearization of the model. The linearized solution is in agreement (1 to 3%) with an accurate numerical solution of the nonlinear model and is significantly faster in evaluation. The sensitivity of this solution to parameter variations permits its use in detailed experimental comparisons. This new time-dependent solution makes possible, for the first time, an accurate, simultaneous determination of the chemical interdiffusion coefficients and the effective heat of transport of interstitial compounds, such as refractory carbides and hydrides, from a concentration measurement for short diffusion times.