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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.
R. Kawana, S. Okayama, M. Ishikawa, Y. Nakashima, Y. Yasaka, H. Takeno, Y. Tomita (19P64)
Fusion Science and Technology | Volume 51 | Number 2 | February 2007 | Pages 385-387
Technical Paper | Open Magnetic Systems for Plasma Confinement | doi.org/10.13182/FST07-A1410
Articles are hosted by Taylor and Francis Online.
The objective of the present study is to analyze separation capability of charged particles of small-scale cusp type direct energy experimental converter installed at GAMMA 10 by means of numerical simulation with the axisymmetrical two-dimensional approximation. The numerical simulation has given the following results: (1) when the input power of protons is less than or equal to 1W, the protons and the electrons can be separated with the proton collection efficiency of 100%. When the input power of protons is 5W, the protons and the electrons become difficult to be separated with the proton collection efficiency of about 5%. (2) The electrons whose radius of incidence is small become trapped in the separation zone. These results depend on the magnitude of self-induced electric field which is formed by separation of the protons and the electrons.