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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.
F. Schmittroth, R. E. Schenter
Nuclear Science and Engineering | Volume 74 | Number 3 | June 1980 | Pages 168-177
Technical Paper | doi.org/10.13182/NSE80-A20116
Articles are hosted by Taylor and Francis Online.
A method of cross-section adjustment and evaluation is presented. Based on a finite element representation, the method is especially appropriate for cross sections that are well represented by continuous functions. It is also suitable for many problems outside the area of cross-section evaluation where one desires to fit curves that have complicated shapes not easily described by low-order polynomials. The algorithm is based on least-squares techniques that use complete covariance information and prior values. Nuclear model calculations, microscopic and integral data, and the results of prior multigroup adjustments can be combined in a single consistent evaluation. Results are presented for an illustrative example and for the evaluation of the 54Fe(n, p) dosimeter cross section.