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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.
Yoshiko Harima, Hideo Hirayama, Toshio Ishikawa, Yukio Sakamoto, Shun-ich Tanaka
Nuclear Science and Engineering | Volume 96 | Number 3 | July 1987 | Pages 241-252
Technical Note | doi.org/10.13182/NSE87-A16385
Articles are hosted by Taylor and Francis Online.
Exposure and absorbed dose buildup factors for a photon point source in infinite beryllium have been calculated in the low-energy range of 0.03 to 0.3 MeV, for penetration depths up to 40 mfp, using two discrete ordinates codes, PALLAS-PL,SP-Br and ANISN. Comparisons of both result to values obtained by point Monte Carlo calculations using the electron gamma shower version 4 code showed reasonable agreement for two types of sources: normally incident and point isotropic sources. The fitting parameters of a geometric-progression method formula were determined for the resulting buildup factor data. These fitting parameters are in good agreement with the basic data within 5% over a great variation in magnitude.