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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.
William A. Zanotelli, Stephen M. Craven, Garry D. Miller, William E. Moddeman, Frank Novak, David M. Hercules
Nuclear Science and Engineering | Volume 85 | Number 1 | September 1983 | Pages 17-25
Technical Paper | doi.org/10.13182/NSE83-A17147
Articles are hosted by Taylor and Francis Online.
The conditions inside the bubble formed in a hypothetical core disruptive accident (HCDA) of a liquid-metal fast breeder reactor have been simulated with a LAMMA 500 laser microprobe mass analyzer. Results for Na2U2O7 show that negative diuranate and positive sodium uranate ions are produced. Higher laser powers favor greater fragmentation to U+, [UO]+, and [UO2]+. The Na2O/UO2 results indicate vapor phase reactions result in the formation of positive and negative sodium uranate ion intermediates. Positive hydrogen ions are observed in some spectra. Higher laser energies (higher HCDA temperatures) favor sodium uranate ion formation. These data support the view that sodium uranate ionic precursors are formed in the vapor phase, bubble, of a simulated HCDA reaction. A prior argon-ion-excited secondary ion mass spectroscopy investigation of Na2O/UO2 and Na2U2O7 showed no sodium uranate species, only the formation of U+, [UO]+, and [UO2]+.
