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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.
Vinicius-Nicolae-Petre Anghel
Nuclear Science and Engineering | Volume 97 | Number 3 | November 1987 | Pages 249-256
Technical Note | doi.org/10.13182/NSE87-A23508
Articles are hosted by Taylor and Francis Online.
A general acceleration scheme for the iterative transport calculations is analyzed, and the implementation of this scheme in the two-dimensional transport code TWOTRAN PNWV is described. The convergence radius is estimated for homogenous one-dimensional slab problems. Two-dimensional benchmark problems are used to outline the dependence of the convergence on the material properties and on the fine- and coarse-mesh grids. Possible applications of this scheme to obtain acceleration methods for other iterative algorithms are suggested.