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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.
Shawky F. Nassar and Glenn Murphy
Nuclear Science and Engineering | Volume 35 | Number 1 | January 1969 | Pages 70-79
Technical Paper | doi.org/10.13182/NSE69-A21114
Articles are hosted by Taylor and Francis Online.
The diffusion parameters of light water have been measured by the pulsed-source method. The neutron bursts were produced from a Texas Neutron Generator by pulsing the ion source and using the 3H (d, n) 4He reaction. Neutrons were injected into spherical volumes of H2O and the decay constants of the neutrons were determined by means of an enriched BF3 miniature proportional counter. Neutron lifetime measurements were performed on small and large water samples with values of the geometric buckling from 0.035 to 0.655 cm−2. A harmonic analysis was conducted for the large geometries, while the waiting time method was used for the smaller ones. In the harmonic analysis, it appeared that a detector in a sphere is more sensitive to neutron fluctuation with time than it would be in a rectangular or cylindrical system. The diffusion parameters, D0 and C, were determined by fitting the decay constants to the equations and , where and are the geometric and the corresponding transport buckling, respectively. The second fit gave a lower standard deviation of C than did the first fit.