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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.
H. Matsui, M. H. Bradbury, Hj. Matzke
Nuclear Science and Engineering | Volume 66 | Number 3 | June 1978 | Pages 406-414
Technical Paper | doi.org/10.13182/NSE78-A27222
Articles are hosted by Taylor and Francis Online.
The self-diffusion of 14C and 233U in four different uranium carbonitrides, UCxN1−x with x = 0.67, 0.26, 0.24, and 0.18, and the diffusion of 238Pu in two sets of (U,Pu)C0.8N0.2 were measured. Replacing carbon by nitrogen decreased self-diffusion rates in both metal and nonmetal lattices. The decrease was not linear with x; rather, a change in mechanism or bonding at around x ≈ 0.5 was indicated. The data are of importance for both fabrication and reactor operation of carbonitrides.