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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.
Morris E. Battat, L. A. Ronald Dierckx,+, C. Robert Emigh
Nuclear Technology | Volume 43 | Number 3 | May 1979 | Pages 338-348
Technical Paper | Material | doi.org/10.13182/NT79-A19222
Articles are hosted by Taylor and Francis Online.
A detailed analysis is made showing the feasibility of producing a neutron spectrum that will closely match the first wall neutron environment of any proposed future fusion reactor. An intense neutron source based on the deuterium-tritium reaction and producing 1 to 3 × 1015 14-MeV neutrons per second in a small volume, <1 cm3, is used as the primary source. The spectrum is tailored by surrounding this source with a spherical blanket composed of concentric shells of lithium, uranium (93% 235U), and beryllium. The irradiation volume of ∼100 cm3 is located between the source and the inside of the blanket and can be used for the purpose of radiation damage evaluations.