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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.
Yung-An Chao, Chang-An Suo
Nuclear Science and Engineering | Volume 88 | Number 2 | October 1984 | Pages 103-109
Technical Paper | doi.org/10.13182/NSE84-A28394
Articles are hosted by Taylor and Francis Online.
A two-dimensional, two-group albedo model is developed for replacement of a pressurized water reactor reflector. Spatially dependent albedos in the vicinity of an outward concaving corner of the core boundary are derived using the same formulation and technique developed by the authors for the theory of the interface flux nodal method. The model is mathematically simple and has been successfully tested for applications in both fine-mesh finite difference and coarse-mesh nodal calculations, for cases of a reflector with and without a shroud.