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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.
Charles A. Wemple, Ilhan Dilber, Thomas J. Downar
Nuclear Science and Engineering | Volume 99 | Number 1 | May 1988 | Pages 36-40
Technical Paper | doi.org/10.13182/NSE88-A23543
Articles are hosted by Taylor and Francis Online.
A vectorized source algorithm was developed for the Electric Power Research Institute light water reactor core nodal code SIMULA TE-E. The existing line successive displacement scheme was replaced by configuring the source for all nodes in a given plane as a single vector that could be computed simultaneously. Power distributions and eigenvalues for all test problems agreed exactly with the original scalar code. A factor of 2 to 7 reduction in execution time was achieved for typical pressurized water reactor problems on the CYBER 205.
