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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.
B. R. Christensen, A. R. Raffray, M. S. Tillack
Fusion Science and Technology | Volume 47 | Number 4 | May 2005 | Pages 1180-1186
Technical Paper | Fusion Energy - Inertial Fusion Technology | doi.org/10.13182/FST05-A847
Articles are hosted by Taylor and Francis Online.
During injection, inertial fusion energy (IFE) direct drive targets are subjected to heating from energy exchange with the background gas and radiation from the reactor wall. This thermal loading could cause phase change (vaporization and/or melting) of the deuterium-tritium (DT). In the past, it was assumed that any phase change would result in a violation of the stringent smoothness and symmetry requirements imposed on the target. This work summarizes the results from a one-dimensional finite difference model that was created to simulate the coupled thermal and mechanical response of a direct drive target to an imposed heat flux.The objective of this work is to investigate methods of increasing the thermal robustness of targets.