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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.
Toshihiko Kawano, Fritz H. Fröhner
Nuclear Science and Engineering | Volume 127 | Number 2 | October 1997 | Pages 130-138
Technical Paper | doi.org/10.13182/NSE97-A28592
Articles are hosted by Taylor and Francis Online.
An accurate database is used to study optical model fits to total neutron cross sections of 56Fe in the resolved and unresolved resonance regions. Averages over resolved resonances are calculated from resonance parameters in a Reich-Moore (reduced R matrix) approximation with Lorentzian weighting. Optical potential parameters are obtained for the s, p, and d waves that reproduce the smoothed cross sections in the resolved resonance region. The p-wave optical potential is found to differ from the s-wave potential. When the appropriate higher angular momentum contributions are added, the average total cross sections can be fitted quite well, from the resolved resonance region all the way up to 20 MeV.
