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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.
Stephen J. Czuchlewski, David E. Hanson, Burton J. Krohn, Alvin R. Larson, Edward T. Salesky
Fusion Science and Technology | Volume 11 | Number 3 | May 1987 | Pages 560-575
Technical Paper | KrF Laser | doi.org/10.13182/FST87-A25036
Articles are hosted by Taylor and Francis Online.
The optimization of a 10-kJ large aperture (1- × 1-m) electron-beam-pumped KrF laser is investigated theoretically. Model calculations in zero and one dimension have been performed over extensive ranges in a few parameters for optimization of output fluence. A practical procedure for one-dimensional modeling is given, and significant differences between calculations performed in zero and one dimension are discussed. Predictions are compared to preliminary experimental results. The model is then applied to a regime of much higher electron energy deposition and total gas pressure. Some aspects of the operation of such a laser are discussed.