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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.
Randall K. Cole, Jr.
Nuclear Science and Engineering | Volume 55 | Number 1 | September 1974 | Pages 76-84
Technical Paper | doi.org/10.13182/NSE74-A23968
Articles are hosted by Taylor and Francis Online.
A simple, analytic approximate theory has been developed for calculation of x-ray transport in one-dimensional Cartesian geometry. The form of the theory is particularly suited to numerical computation. Deposition and energy currents can be calculated in times comparable to those required by exponential mass-absorp-tion codes, with accuracies comparing favorably with more sophisticated discrete ordinates or Monte Carlo calculations. Although the theory is presented in terms of x-ray transport, it should be applicable to any transport problem for which (a) scattering is not highly anisotropic, and (b) averaged cross sections may be defined for secondary particles.