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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.
THOMAS J. BURNETT
Nuclear Science and Engineering | Volume 2 | Number 3 | May 1957 | Pages 382-393
Technical Paper | doi.org/10.13182/NSE57-A25403
Articles are hosted by Taylor and Francis Online.
The potential hazard resulting from the accidental release of the fission products accumulated in a reactor enters into both design and site selection. This hazard is associated principally with the resultant internal exposure which is greatest from isotopes with long half-lives. A useful index of a reactor's potential hazard is the accumulated number of activity quantities each capable of 25 rem total bone exposure. This hazard index is sensitive to the relative composition of these fission products and is given by the empirical equation: HI = 112.5 P0.37 (Pt)0.63, in which P is the power in watts at which the reactor is operated for t days. This equation, valid over the time range of principal interest (30 to 1000 days), permits comparison of potential hazard for constant burnup (the Pt product) and/or other design parameters.