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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.
George R. Fegan
Nuclear Technology | Volume 34 | Number 2 | July 1977 | Pages 299-305
Technical Paper | Radioisotope | doi.org/10.13182/NT77-A39704
Articles are hosted by Taylor and Francis Online.
The Bateman system of differential equations describes serial radioactive decay. By tracing atoms through the decay chain, one can decompose the original system into a more elementary system. A concise formulation of this elementary system can be given through the use of a transition matrix. The solution to the system can then be derived in matrix form. The simplicity of this latter expression motivated the use of the transition matrix in the development for Portland General Electric of a computer code for activity calculations. The transition matrix approach together with a strategy for minimal storage requirements produced a very efficient code.