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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.
P.F. Peterson
Fusion Science and Technology | Volume 39 | Number 2 | March 2001 | Pages 702-710
Chamber Technology | doi.org/10.13182/FST01-A11963321
Articles are hosted by Taylor and Francis Online.
High-temperature, low-vapor-pressure liquid jets can provide neutron shielding for inertial fusion energy (IFE) target chambers. To minimize pumping power, free liquid jets must be located close to the target to reduce the total liquid volume required for shielding each fusion shot. For heavy ion drivers compact liquid geometry provides additional benefits by reducing focus-magnet stand off distance. The disruption of the liquid by targets involves complex fluid mechanics, as does the subsequent droplet clearing and pocket regeneration. The ranges of time, length, and energy-density scales in IFE target chambers are extreme compared to most engineered systems. Scaling, discussed in detail here, can identify optimal approaches to study and model liquid response, and minimize experimental distortion. More broadly, the systematic categorization of IFE phenomena by duration and location is shown to provide a natural format for selecting experiments to study IFE phenomena ranging from beam transport to chamber activation.