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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.
D. Saphier
Nuclear Science and Engineering | Volume 47 | Number 3 | March 1972 | Pages 275-289
Technical Paper | doi.org/10.13182/NSE72-A22414
Articles are hosted by Taylor and Francis Online.
A new hybrid method was developed for the solution of the one-dimensional time-dependent diffusion equation in four energy and four delayed-neutron groups. Using this method it is possible to reduce the cost per problem solved by an order of magnitude compared with commonly used digital methods. The solution is based on discretizing the multigroup diffusion equation with respect to the spatial variable while leaving the time variable continuous. The simple coupled time-dependent differential equations so obtained are integrated continuously and in parallel for each of the reactor regions. The regional boundary values are updated from iteration to iteration until convergence is obtained. Two examples are presented in which the hybrid and digital solutions are compared for a fast plutonium oxide fueled reactor. The agreement between the hybrid and digital solution is fairly good.