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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.
Charles R. Marotta
Nuclear Technology | Volume 39 | Number 3 | August 1978 | Pages 323-326
Technical Note | Chemical Processing | doi.org/10.13182/NT78-A32062
Articles are hosted by Taylor and Francis Online.
A simple formulation is developed that permits a quick and accurate estimate of the maximum increase in reactivity that an unmoderated fissile system can experience if subjected to high compaction forces. The keff estimates from the proposed model are compared with Monte Carlo and transport theory values and indicate that for low-density fissile systems and realistic compressions, there is excellent agreement. Good agreement is achieved for denser systems up to ∼20% compression. Some practical areas of application and extension of the model are indicated in which large uniform external pressures may exist.