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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.
V. O. Uotinen, J. H. Lauby, W. P. Stinson, S. R. Dwivedi
Nuclear Science and Engineering | Volume 44 | Number 1 | April 1971 | Pages 66-71
Technical Paper | doi.org/10.13182/NSE71-A18906
Articles are hosted by Taylor and Francis Online.
The ratio βeff/l has been deduced from reactor noise measurements in several uniform light-water lattices in the Plutonium Recycle Critical Facility. These lattices included one in which the fissile material was slightly enriched uranium, one in which the fissile material was plutonium, and five lattices in which the fissile material contained both uranium and plutonium. These measurements supply a set of experimental data over a range of plutonium enrichments that are applicable to plutonium recycle situations in thermal reactors. The measured values of βeff/l range from 33 ± 3 sec−1 for a lattice of Al-Pu rods to 153 ± 8 sec−1 for a lattice of UO2 rods. Calculated values of βeff/l, obtained with a straight-forward reactor design calculational method, are in good agreement with measured values.