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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.
K. S. Smith, R. W. Schaefer
Nuclear Science and Engineering | Volume 87 | Number 3 | July 1984 | Pages 314-332
Technical Paper | doi.org/10.13182/NSE84-A17785
Articles are hosted by Taylor and Francis Online.
Result of recent fissile small sample worth experiments in three fast reactor diagnostic critical assemblies are presented. These experiments produced significant insight into heterogeneity-related errors in standard calculational models of worth experiments in plate-type critical assemblies. Results of improved techniques for calculation of worth experiments are presented, and the mean ratios of calculated to experimental worths in the three new benchmark critical assemblies are shown to be in the range from 0.97 to 1.04. The implications of the improved understanding of small sample worth experiments with respect to previously reported critical experiments are discussed.