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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.
Chonghai Cai, Kai Xu, Haixia An, Haicheng Wu
Nuclear Science and Engineering | Volume 164 | Number 3 | March 2010 | Pages 304-317
Technical Note | doi.org/10.13182/NSE08-62TN
Articles are hosted by Taylor and Francis Online.
Complete sets of neutron nuclear data, including all kinds of cross sections, angular distributions of elastic scattering, energy spectra and/or double-differential cross sections of all emitted particles, and gamma production data (production cross sections and multiplicity, angular distributions, and energy spectra) in all kinds of reactions for n + 63Cu and n + 65Cu below 20 MeV are calculated and evaluated. The calculated or evaluated cross sections are in good accordance with the experimental values for those reactions with experimental data. Particularly for the neutron leakage current in the benchmark Oktavian and the effective multiplication factors in six benchmark assemblies, our calculated values are in much better agreement with experimental data than those of several existing evaluation files.