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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.
Weston M. Stacey, Jr.
Nuclear Science and Engineering | Volume 45 | Number 2 | August 1971 | Pages 189-198
Technical Paper | doi.org/10.13182/NSE71-A20885
Articles are hosted by Taylor and Francis Online.
A method is described for solving the energy-dependent neutron diffusion equation by first factorizing the flux into a spatial shape function with weak energy dependence and a spectral function, then developing coupled equations for these two functions which must be solved iteratively. Numerical procedures used to solve these equations combine internally, and in a self-consistent fashion, a fine-group spectrum calculation with a broad-group spatial calculation. Numerical examples, based on representative fast-reactor models, are presented to demonstrate that this space-energy factorization method constitutes an accurate and economical approximation.