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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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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.
William G. Davey, Paul I. Amundson
Nuclear Science and Engineering | Volume 28 | Number 1 | April 1967 | Pages 111-123
Technical Paper | doi.org/10.13182/NSE67-A18673
Articles are hosted by Taylor and Francis Online.
The spherical shell method for investigating inelastic scattering cross sections has been used in a fast-reactor core environment. The changes in 238U/ 235U, 236U/ 235U, and 234U/ 235U fission ratios caused by placing shells of graphite, sodium, aluminum, iron, stainless steel, lead, and depleted uranium around the fission chambers were measured. Our studies show that reasonably accurate measurements can be made in a fast-reactor core. Where comparisons can be made, our results are in excellent agreement with the fission spectrum results of Bethe, Beyster, and Carter. Comparisons of our measured data with values calculated using two multigroup cross-section sets show clearly where these data sets are accurate and where they are in error.