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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.
Hiroshi Takahashi
Fusion Science and Technology | Volume 5 | Number 1 | January 1984 | Pages 72-79
Deep Penetration: Problem and Method of Solution | Special Section Contents / Shielding | doi.org/10.13182/FST84-A23080
Articles are hosted by Taylor and Francis Online.
The integral transport method, which has been used in the early calculation of a beam hole tube in an experimental reactor and many reactor parameters of a power reactor; has been reviewed. The Generalized First-Flight Collision Probability (GFFCP) method, based on the integral transport equation, and the discrete ordinates method, based on the differential transport equation, are compared in the context of the deep penetration problem. The direct integral method derived from the partial integral transport equation, which eliminates many of the drawbacks of the GFFCP method, is discussed. A method similar to the GFFCP method, which needs spherical harmonics expansion instead of the discrete ordinates scheme, is presented. The future of these analytical methods is discussed in the comparison with the straight numerical method based on the differential transport calculation and the Monte Carlo calculation.