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Conference Spotlight
2026 ANS Annual Conference
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.
D. W. Stevens
Nuclear Technology | Volume 10 | Number 3 | March 1971 | Pages 301-306
Technical Paper | Fuel | doi.org/10.13182/NT71-A30962
Articles are hosted by Taylor and Francis Online.
An explicit solution for stresses and strains in pyrolytic-carbon coatings on spherical fuel particles is presented. The resulting model is a modification of the Prados-Scott model which accounts for stresses arising due to anisotropic, radiation-induced dimensional change and the buildup of internal fission gas pressure, and for stress relaxation due to radiation-induced creep. Finite displacements are shown to amplify the effects of anisotropic dimensional changes. The use of the explicit solution allows a reduction in computation time by several orders of magnitude. The reduction in computation time makes feasible the use of Monte Carlo analyses (which have previously been precluded by high computation costs) to establish the effects of random variations in coated-particle parameters.