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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.
U. Samm
Fusion Science and Technology | Volume 49 | Number 2 | February 2006 | Pages 234-239
Technical Paper | Plasma and Fusion Energy Physics - Edge Physics and Exhaust | doi.org/10.13182/FST06-A1122
Articles are hosted by Taylor and Francis Online.
The control of wall loads in fusion devices, in particular with respect to the life time limitations of wall components due to material erosion and migration, will be decisive for the realisation of a fusion power plant operating in steady state. In ITER the primary goal for plasma-wall interaction is the achievement of a high availability of this pulsed experiment. The article describes the grand challenges of plasma-wall interaction research along the needs for ITER and the strategies of ongoing research for further optimization of the design. Addressed are questions related to material problems, erosion- and transport processes, tritium retention in deposited layers and problems transient heat loads.