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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.
H. Rief, E. M. Gelbard, R. W. Schaefer, K. S. Smith
Nuclear Science and Engineering | Volume 92 | Number 2 | February 1986 | Pages 289-297
Technical Paper | doi.org/10.13182/NSE86-A18178
Articles are hosted by Taylor and Francis Online.
Monte Carlo perturbation analysis has progressed considerably during recent years. Generalized schemes for correlated tracking and higher order derivative operator sampling have been elaborated for commonly used estimators. For special problems, like voiding of strongly absorbing regions, new solutions have been developed. Their respective advantages, especially in view of variance considerations, have been analyzed for simple models. Also, perturbations of eigenvalues could be determined by these methods, provided the usual source iteration procedure is coupled with adjoint weighting or replaced by the Green's function (fission matrix) approach.