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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.
K. Tomlinson, D. G. Schroen
Fusion Science and Technology | Volume 63 | Number 2 | March-April 2013 | Pages 288-295
Technical Paper | Selected papers from 20th Target Fabrication Meeting, May 20-24, 2012, Santa Fe, NM, Guest Editor: Robert C. Cook | doi.org/10.13182/FST13-A16352
Articles are hosted by Taylor and Francis Online.
Preshot characterization of the thickness and form of material samples in targets for dynamic materials properties experiments presents unique challenges. Because of design limitations, the measurement tools currently used introduce increasing error as samples deviate from perfect flatness or thickness uniformity. Contact measurements such as height gages and micrometers, for example, are insensitive to thickness variations occurring over spatial scales smaller than the contact probes. In addition, they measure thickness but not form and often damage samples. Standard confocal microscopes overcome some of these problems but can only measure form on the side of the sample that they see. Also, by design, they consistently overestimate thickness because form errors on the side of the sample against the reference surface always prevent perfect contact with it. We are developing a technique that may prove to be superior to both of these methods at characterizing both thickness and form of samples with both imperfect flatness and nonuniform thickness using only an interferometric optical profiler, an inexpensive fixture, a gage block, and a commercial three-dimensional modeling software. The end result is a computer model of the actual sample.