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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.
J. E. White, C. Y. Fu, K. J. Yost
Nuclear Science and Engineering | Volume 51 | Number 4 | August 1973 | Pages 496-508
Technical Note | doi.org/10.13182/NSE73-A23279
Articles are hosted by Taylor and Francis Online.
Gamma-ray yields as a function of neutron energy from thermal to 1 MeV for iron have been generated with a combined experimental and theoretical approach. The theoretical part is to a large extent statistical; however, parameters are introduced to compensate for the nonstatistical behavior. Experimental information used to evaluate these parameters are the branching ratios among discrete levels and the gamma-ray primary transitions from thermal and available resonance capture. A discussion of the implications of additional resonance capture yield data, which was made available after the completion of the calculation, is included. The results have been compared with integral experiments, and the agreement is favorable. Considerable variations in the capture gamma-ray yields as a function of incident neutron energy are noticed.