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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.
L. A. Sedano
Fusion Science and Technology | Volume 48 | Number 1 | July-August 2005 | Pages 605-608
Technical Paper | Tritium Science and Technology - Materials Interaction and Permeation | doi.org/10.13182/FST05-A998
Articles are hosted by Taylor and Francis Online.
The H (or D, or T) Sievert's constant for liquid Sn-Li alloys is calculated from thermodynamic data issuing of the Sn-Li binary phase diagram analysis. The range of temperatures investigated is 600-873 K (Sn0.8Li0.2 m.p. ~ 599 K) to maintain single-phase binary melts. The thermodynamic functions of Li-H, Sn-H, Sn-Li are evaluated to derive those of Sn-Li-H. Thus, monotectic solubility data for Sn and Li is analyzed. The calculation is done for high-dilution conditions. A quasi-chemical regular solution model is used for temperature/composition extrapolations when no data is available. The tritium Sievert's constant in Sn0.8Li0.2 at 600 K is: 9.65 10-8 Pa-12, five times the Reiter's measured value for Pb-17Li and ~ 6 times the value in Pb-17Li eutectic obtained by using the same theoretical approach.
