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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.
T. Yamanishi, S. Konishi, T. Hayashi, Y. Kawamura, Y. Iwai, T. Maruyama, T. Kakuta, S. O'hira, H. Nakamura, K. Kobayashi, M. Nishi, T. Nagashima, M. Ohta
Fusion Science and Technology | Volume 34 | Number 3 | November 1998 | Pages 536-540
Fueling and Tritium Handling Technology (Poster Session) | doi.org/10.13182/FST98-A11963668
Articles are hosted by Taylor and Francis Online.
An integrated fusion fuel loop was constructed. A palladium diffuser first treated a simulated plasma exhaust gas, that is a mixture of hydrogen isotopes and impurities such as helium and methane. A pure hydrogen isotopes stream was sent to a cascade of cryogenic distillation columns. The impurities were processed with a unit of an electrolytic reactor and a palladium diffuser. The integrated fusion fuel loop was thus demonstrated. A major result was that the electrolytic reactor processed methane successfully in a gas phase without using the catalysts. A laser Raman analysis system installed into the cryogenic distillation columns gave a set of analysis results with no time delay and no sampling gas exhaust. It was demonstrated that the laser Raman was a promising analysis system for the control of the fusion fuel loop.