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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.
Ely M. Gelbard, Richard Lell
Nuclear Science and Engineering | Volume 63 | Number 1 | May 1977 | Pages 9-23
Technical Paper | doi.org/10.13182/NSE77-A26999
Articles are hosted by Taylor and Francis Online.
A Monte Carlo method has been developed for the computation of the eigenvalue, as a function of buckling, in an infinite lattice. This method has been used to test the accuracy of earlier, approximate, void-worth computations, computations that enter into the analysis of hypothetical accidents in which voids collapse. Test results indicate that reactivity effects due to the collapse of bubbles in a molten pool can be computed, with reasonable accuracy, by the Behrens method, used earlier by Goldsmith. On the other hand, the Webb estimates of eigenvalue changes, caused by the expansion of fuel pins into the voids of a previously voided lattice, appear to be somewhat too high.