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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.
J. C. Robinson, F. Shahrokhi, R. C. Kryter
Nuclear Technology | Volume 40 | Number 1 | August 1978 | Pages 35-46
Technical Paper | Reactor | doi.org/10.13182/NT78-A26697
Articles are hosted by Taylor and Francis Online.
To quantify the core barrel motion in a typical pressurized water reactor, a scale factor was calculated for both one- and two-dimensional geometries, using forward, variational, and perturbation methods of discrete-ordinates transport. The calculational results show that, although perturbation theory is adequate for estimating the scale factor, two-dimensional geometric effects are important enough to rule out the use of a one-dimensional approximation for all but the crudest calculations. Also, contributions of gamma rays can be ignored, and the results are relatively insensitive to the nuclear cross-section set employed. A method was then developed for inferring, with the aid of this scale factor, the magnitude of the core barrel motion from the following statistical descriptors: cross-power spectral density, auto-power spectral density, and amplitude probability density.