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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.
Robert D. Day, Robert L. Sebring
Fusion Science and Technology | Volume 49 | Number 4 | May 2006 | Pages 638-641
Technical Paper | Target Fabrication | doi.org/10.13182/FST06-A1178
Articles are hosted by Taylor and Francis Online.
The thickness of the bands used in targets for CYLMIX experiments is an important experimental parameter. This measurement becomes difficult because the peak-to-valley surface roughness is at least 10% of the band thickness. Therefore, a method had to be devised that would accurately represent the band thickness and include the statistical nature of the very rough surface. The Effective Density was the parameter chosen to give a good representation of the band thickness. This paper describes how to make this measurement and how it was used in recent CYLMIX experiments.