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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. A. Favorite, W. M. Stacey, Jr.
Nuclear Science and Engineering | Volume 125 | Number 1 | January 1997 | Pages 101-106
Technical Note | doi.org/10.13182/NSE97-A24258
Articles are hosted by Taylor and Francis Online.
A new variational functional for space-time neutronics is presented. This functional is stationary about the integro-differential form of the diffusion equation, in which the delayed neutron source is expressed as a convolution integral of the flux, and an integro-differential adjoint flux equation. The new functional is used to derive a quasi-static method that is similar to the improved quasistatic (IQS) method, except that the equation for the flux shape uses a different expression for the delayed neutron source. In a one-dimensional sub-prompt critical test problem, the new variational quasi-static method was slightly more accurate than the IQS method.
