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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.
S. Pahor
Nuclear Science and Engineering | Volume 26 | Number 2 | October 1966 | Pages 192-197
Technical Paper | doi.org/10.13182/NSE66-A28161
Articles are hosted by Taylor and Francis Online.
The solutions of various time-independent one-speed half-space transport problems, such as the generalized Milne and albedo problems, are derived with the help of the Chandrasekhar S-function and the Case eigenfunctions. First the S-function is expressed by Chandrasekhar's H-function and Busbridge's q-polynomials. These polynomials can be separately determined by solving systems of linear equations. Using the S-function, the emerging distribution is obtained by simple physical arguments. Then, the distribution inside the medium is found by applying full-range orthogonality relations between the Case eigenfunctions.