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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.
Yoshiki Murakami*, Masayoshi Sugihara
Fusion Science and Technology | Volume 24 | Number 4 | December 1993 | Pages 375-390
Technical Paper | Plasma Engineering | doi.org/10.13182/FST93-A30188
Articles are hosted by Taylor and Francis Online.
Steady-state and hybrid-mode operation of a tokamak fusion reactor is investigated by power balance calculations, and operation points are optimized with respect to divertor heat load. The dependence of the divertor heat load on a variety of models is also discussed. Several schemes to reduce the heat load are investigated, and the goal of physics research and development is clarified. Hybrid-mode operation appears to be suitable for technology testing, which requires a long burn time and a high neutron wall load. The divertor heat load can be reduced to the ignition-mode level without impurity seeding if the energy confinement is enhanced by 10%. The relation between the divertor heat load and the controllability of the current profile, that is, the fraction of the beam-driven current, is also discussed.