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May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Margaret L. Hamilton, Frank A. Garner, Walter J. S. Yang
Fusion Science and Technology | Volume 10 | Number 3 | November 1986 | Pages 405-410
Technical Paper | Materials Engineering | doi.org/10.13182/FST86-A24780
Articles are hosted by Taylor and Francis Online.
Since the microstructural origins of radiation-induced toughness degradation are presumed to be identical to those that cause changes in tensile properties, it appears possible to make predictions of residual fracture toughness based on changes in the tensile behavior and the associated microstructural evolution of the steel. A model for tensile-toughness correlations is presented that appears to be valid for radiation-hardened stainless steels. Tensile data from both ducts and cladding tubes of 20% cold-worked American Iron and Steel Institute Type 316 stainless steel irradiated in Experimental Breeder Reactor-II are used to make the prediction that sufficient toughness is retained in this steel for both fast reactor and fusion reactor applications.