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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.
A. Dubi, Y. S. Horowitz, H. Rief
Nuclear Science and Engineering | Volume 71 | Number 1 | July 1979 | Pages 29-45
Technical Paper | doi.org/10.13182/NSE79-A20327
Articles are hosted by Taylor and Francis Online.
The mathematical validity of the track rotation estimator (TRE) as an unbiased point flux estimator is presented in detail. The mathematical formulation of the TRE is developed for the cases of spherical symmetry, spherically symmetrical media with nonisotropic source, and nonsymmetrical media. Various methods for biasing the angular distribution to obtain a bounded variance are developed. The results of calculations in which the TRE is applied to test problems—infinite media, sphere, and sphere with nonisotropic source—as well as a three-dimensional finite slab with point source are presented and compared with the uncollided flux (UCF) and the once-collided flux (OCF) estimators. The results indicate substantially superior quality factors for the TRE over the UCF and the OCF estimators, especially when the absorption cross section is small.