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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.
James A. Davis
Nuclear Science and Engineering | Volume 31 | Number 1 | January 1968 | Pages 127-146
Technical Paper | doi.org/10.13182/NSE68-A18015
Articles are hosted by Taylor and Francis Online.
By using variational means, it is found for any one velocity system with non- zero absorption cross section having either vacuum, reflecting, or antireflecting boundary conditions that the transport solution is, in a very specific sense, approached monotonically from above by the solutions to the odd PN equations and from below by the solutions to the even PN equations, provided the PN solutions are obtained by using appropriate continuity and external boundary conditions. That is to say, odd and even PN calculations “bracket” the transport solution. In one instance, the escape probability is bounded and, in another, the disadvantage factor. This theoretical result, along with certain numerical evidence, suggests that the modified P2 approximation of Dawson may serve as a practical, reasonably accurate alternative to diffusion theory for certain realistic design problems.