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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.
A. R. Vernon
Nuclear Science and Engineering | Volume 7 | Number 3 | March 1960 | Pages 252-259
Technical Paper | doi.org/10.13182/NSE60-A25710
Articles are hosted by Taylor and Francis Online.
Methods for determining an effective resonance integral from available resonance parameter data are examined and applied to lumped systems where the absorber is U238. Agreement with experiment is satisfactory in view of an uncertainty of about 10% introduced by probable errors of the parameter data. The empirical formula is expected to represent the geometric behavior of I better than other two-parameter formulas when applied to a variety of fuel element compositions. For uranium metal the formula is virtually indistinguishable from the formula of Gurevich and Pomeranchouk: Quantitative results describing the temperature and energy dependence of resonance captures are also given.
