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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.
José M. Martínez-Val, Mireia Piera
Fusion Science and Technology | Volume 23 | Number 2 | March 1993 | Pages 218-226
Technical Note | ICF Target | doi.org/10.13182/FST93-A30149
Articles are hosted by Taylor and Francis Online.
Two regimes of hydrodynamic evolution are found in the analysis of the performance of small-scale heavy-ion-driven targets. One leads to high density and high compression with moderate temperatures (∼1 keV) for driving energies of 100 kJ for 0.1-mg deuterium-tritium targets. Ignition can then be triggered by a second ion pulse (∼50 kJ). Breakeven could be obtained if a burnup fraction as small as 1% is obtained. The second regime leads to very high temperatures in the central part of the fuel, while the rest of the fuel remains at moderate temperatures (<1 keV), and the density is very low everywhere. Propagated ignition cannot occur in this case because of the small optical thickness of the compressed fuel (<0.1 g/cm2).