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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.
E. D. Arthur
Nuclear Science and Engineering | Volume 76 | Number 2 | November 1980 | Pages 137-147
Technical Paper | doi.org/10.13182/NSE80-A19446
Articles are hosted by Taylor and Francis Online.
The mass region around A = 90 was chosen for examination of the validity of nuclear models and input-parameter determination techniques often used to meet nuclear data requirements where no experimental data exist. Consistent sets of input parameters, determined through analysis of independent data available in this mass region, were applied to the calculation of all major neutron reactions on 89Y and 90Zr occurring between 0.05 and 20 MeV. These parameters were then tested under even more stringent conditions through calculation and comparison to experimental data on unstable target nuclei available for neutron energies of 14 to 15 MeV. These calculations, both on stable and unstable nuclei, serve to indicate that reliable cross-section predictions can be obtained from nuclear models that use carefully determined parameters verified in concurrent comparisons to available experimental data.