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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.
Alain P. M. Heres, Maxy C. Noe
Nuclear Technology | Volume 115 | Number 2 | August 1996 | Pages 146-152
Technical Paper | Characterization of Radioactive Waste in France / Radioactive Waste Management | doi.org/10.13182/NT96-A35260
Articles are hosted by Taylor and Francis Online.
In France, specifications for long-lived isotopes, which are critical for the safety of intermediate storage and disposal on surface sites, have been fixed. Because a number of these nuclides are pure beta or alpha emitters, a reliable radiochemical inventory of these isotopes requires a rather sophisticated preparative chemistry before radiation measurement. In view of the initial complexity of matrices for various types of waste, the preparation steps constitute a technological limit to the characterization. Therefore, practices eventually developed for synthetic waste may prove insufficient when applied to real samples. For isotopes with half-lives >105 yr, such as 99Tc and 129I, a physicochemical technique, inductively coupled plasma/mass spectrometry, constitutes an attractive alternative to radiochemical procedures. However, the request for high performance and limitations in sample activity does not allow preparative treatments and chemical separations from interfering species to be minimized.