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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.
Tatsuhiko Uda, Hisao Otsuka, Yoshihiro Ozawa
Nuclear Technology | Volume 75 | Number 2 | November 1986 | Pages 215-221
Technical Paper | Technique | doi.org/10.13182/NT86-A33864
Articles are hosted by Taylor and Francis Online.
To develop a convenient and simple low-level alpha contamination monitoring method for large quantities of radioactive wastes, a foil-type electret dosimeter was examined. For the electret material, fluoride polymer was used, and the polymer foils were charged and polarized by applying a high voltage in air while heating at ∼150°C. The surface charge density of the electret foil before and after irradiation was measured by converting to a piezoelectret signal through use of a polyvinylidene fluoride. In the experiments, using a 2.5 kV/mm electric field in electret foils, an electron avalanche effect was produced, and surface charge decay was multiplied. The maximum multiplication factor obtained was ∼200. The detection limit of alpha surface contamination was confirmed as 10−6 μCi/cm2 (3.7 × 102 Bq/m2) for a 5-h irradiation time.