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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.
John S. Walker, Basil F. Picologlou
Fusion Science and Technology | Volume 8 | Number 1 | July 1985 | Pages 270-275
Blanket and First-Wall Engineering | Proceedings of the Sixth Topical Meeting on the Technology of Fusion Energy (San Francisco, California, March 3-7, 1985) | doi.org/10.13182/FST85-A40056
Articles are hosted by Taylor and Francis Online.
A self-cooled, liquid-metal blanket for a magnetic confinement fusion reactor has generally been viewed as a conventional cooling system with the additional, negative effects of the magnetohydrodynamic (MHD) interaction which must somehow be overcome. Recent studies of liquid-metal flows in strong magnetic fields have revealed the existence of characteristic surfaces in such flows. Pressure and voltage are constant to first order on these surfaces, while the surfaces are streamsurfaces for the fluid velocity. In the proposed design approach, these surfaces are used to create the flow patterns which absorb the heat where it is deposited and distribute it throughout the coolant. These MHD “guidevanes” can eliminate much of the complexity of previous blanket designs. Therefore, MHD effects are used as a positive design tool.