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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.
Claudio Pescatore, Albert J. Machiels
Nuclear Technology | Volume 56 | Number 2 | February 1982 | Pages 297-300
Technical Paper | Radioactive Waste Management | doi.org/10.13182/NT82-A32857
Articles are hosted by Taylor and Francis Online.
When leaching is controlled by a diffusion process, leach test results are particularly simple to interpret when test specimens approximate semi-infinite media. For spherical and cylindrical leach test samples, a criterion relating the test duration T, the specimen radius R, and the effective bulk diffusion coefficient D, to the desired degree of concurrence to the semiinfinite geometry behavior P, is shown to be given by: From the proposed criterion, it is concluded that, for glass waste forms, the semi-infinite geometry approximation is met by most test samples except possibly for finely crushed material