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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.
Xiang M. Chen, Per F. Peterson, Michael T. Tobin
Fusion Science and Technology | Volume 26 | Number 3 | November 1994 | Pages 814-818
National Ignition Facility | Proceedings of the Eleventh Topical Meeting on the Technology of Fusion Energy New Orleans, Louisiana June 19-23, 1994 | doi.org/10.13182/FST94-A40255
Articles are hosted by Taylor and Francis Online.
The tests in the chamber of National Ignition Facility will involve complex multi-dimensional dynamics phenomena. Many safety concerns relate to the ablation of the chamber material and the re-condensation of it. The x-ray induced ablation can vaporize surfaces of internal structures. The deposition of the ablated mass to the laser optics can cause significant damage to the laser optics. This study presents a typical analysis of the ablation from the target positioner in the NIF chamber with the TSUNAMI two-dimensional gas dynamics code. Results reveal that the geometry of target positioner has strong influence to the vapor mass amount and distribution over the chamber wall. The analysis done here shows that it is possible to perform parametric study for different NIF chamber design configurations.