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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.
A. D. Caldeira, A. F. Dias, R. D. M. Garcia
Nuclear Science and Engineering | Volume 130 | Number 1 | September 1998 | Pages 60-69
Technical Paper | doi.org/10.13182/NSE98-A1989
Articles are hosted by Taylor and Francis Online.
The PN method is used to solve the multigroup slowing-down problem in plane geometry. A scalar (group-by-group) PN solution that is less limited by computational resources than previously reported vector solutions is developed. The solution is expressed, for a given group, as a combination of homogeneous and particular solutions that satisfies the first N + 1 moments of the corresponding transport equation. An interesting feature of the proposed approach is that the particular PN solution can be written in a form analogous to that of the homogeneous solution, except that a newly introduced class of generalized Chandrasekhar polynomials takes the place of the usual Chandrasekhar polynomials. Numerical results are given for two test problems and compared, for various orders of the approximation, with reference results available in the literature.