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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.
A. Gandini
Nuclear Science and Engineering | Volume 67 | Number 3 | September 1978 | Pages 347-355
Technical Note | doi.org/10.13182/NSE78-5
Articles are hosted by Taylor and Francis Online.
A critical study of higher order perturbation methods for reactor analysis is made. These methods are classified as explicit, semi-implicit, and implicit, according to their ability to allow perturbative expressions to any order of approximation explicitly in terms of the perturbation. This latter condition is desirable in analytical studies or optimization searches for reactor systems. Emphasis is placed on the problem of real flux normalization. Practical first- and second-order explicit formulations are finally given relevant to perturbations of the flux density. A typical example is described that indicates the potentiality of the so-called “standard method.”