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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.
Nairi Baghdasaryan, Tomasz Kozlowski
Nuclear Science and Engineering | Volume 194 | Number 3 | March 2020 | Pages 169-180
Critical Review | doi.org/10.1080/00295639.2019.1686882
Articles are hosted by Taylor and Francis Online.
Fourth-generation nuclear reactor concepts are focused on reaching a high level of fuel burnup, high coolant temperatures, and high safety levels (including passive safety systems). A design concept that fulfills these criteria is the high-temperature gas-cooled reactor (HTGR), which incorporates tristructural isotropic (TRISO) fuel particles for energy generation. Although development and qualification programs of TRISO fuel have shown positive results for their future utilization, uncertain issues related to the modeling of fuel performance still remain. In this paper, we review coated fuel particle performance analysis to demonstrate the current achievements and remaining obstacles in the field. The paper includes a qualitative assessment of different methods/models used for the modeling of important phenomena that occur in the coated fuel particle.