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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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. Bromberg, D.R. Cohn, E. Bobrov, N. Diatchenko, R.J. LeClaire, J.E. Meyer, J.E.C. Williams
Fusion Science and Technology | Volume 4 | Number 2 | September 1983 | Pages 264-269
Alternate Fuels | doi.org/10.13182/FST83-A22879
Articles are hosted by Taylor and Francis Online.
DD-DT operation could provide a significant reduction in tritium breeding requirements in high field tokamak reactors without requiring very large increases in reactor size or plasma beta. Operation with the tritium breeding requirement is of particular interest. The reduced tritium breeding requirement makes possible the use of blanket designs which might be difficult to implement in a DT reactor (for example, LiAl2O3 blankets). The reduced blanket requirement could also be used for excess tritium production. Tradeoffs between tritium breeding and plasma performance requirements are investigated. Illustrative design features are developed for devices using both resistive magnets and superconducting magnets. Parameters for the device with superconducting magnets are BT = 7 T, β = 0.063, R = 9.6 m, a = 2.4 m, γ = 0.8, and Pwall = 2.2 MW/m2.