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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.
Joel E. Kohler, Albert P. Kenneke, Brian K. Grimes
Nuclear Technology | Volume 25 | Number 4 | April 1975 | Pages 617-625
Technical Paper | Reactor Siting | doi.org/10.13182/NT75-A16117
Articles are hosted by Taylor and Francis Online.
The population distribution surrounding a site proposed for a nuclear power plant is an important consideration in the site selection process, and is relevant to both siting and environmental aspects of nuclear power plant siting. In addition, the reactor site criteria specified in 10 CFR Part 100 requires that the surrounding population be given consideration in the siting and design of the facility. Developing methods of analyzing the population distribution characteristics of alternative sites (as discussed in the environmental report for construction of a nuclear power plant) is necessary to arrive at a conclusion regarding the desirability of a proposed site.