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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.
J.J. MacFarlane, M. E. Sawan, G. A. Moses, P. Wang, R. E. Olson
Fusion Science and Technology | Volume 30 | Number 3 | December 1996 | Pages 1569-1573
Fusion Power Plants and Economics | doi.org/10.13182/FST96-A11963174
Articles are hosted by Taylor and Francis Online.
Results from numerical simulations are presented describing the explosion energetics of a high-gain indirect-drive ICF target. The light ion fusion LIBRA-SP target, which consists of an x-ray driven capsule embedded in a spherical foam-filled hohlraum, is imploded using 12 prepulse and 12 full power Li beams containing a total energy of 8 MJ. Here, we report on the dynamics of the target energy release, focussing in particular on the partitioning of energy between x rays, neutrons, and target debris kinetic energy. Our results indicate that 72% and 22% of the 552 MJ yield is emitted by the target in the form of neutrons and x-rays, respectively. Calculated emergent spectra for the target neutrons and x rays are also presented.