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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.
Yigal S. Gur, Yair Bartal, Shimon Yiftah
Nuclear Science and Engineering | Volume 89 | Number 3 | March 1985 | Pages 217-232
Technical Paper | doi.org/10.13182/NSE85-A17543
Articles are hosted by Taylor and Francis Online.
Two-dimensional diffusion calculations, as commonly used, are unreliable for excess reactivity computations of small nuclear systems with significant leakage in the untreated dimension. Observing that the errors are mainly systematic, similarity between nuclear systems is defined and a theory concerning effective buckling is developed that eliminates systematic errors. Excess core reactivities of the materials-test-reactor-type swimming-pool research reactor IRR-1 are then computed with an accuracy better than ±0.5% with 99% confidence, and, in fact, the differences between the computed and measured values are <0.15% for the cases computed.