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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.
Zhao Chunlei, Xie Zhongsheng, Yin Banghua
Nuclear Science and Engineering | Volume 100 | Number 3 | November 1988 | Pages 260-268
Technical Paper | doi.org/10.13182/NSE88-A29039
Articles are hosted by Taylor and Francis Online.
The application of the transmission probability method to the calculation of neutron flux distribution in a two-dimensional light water reactor assembly is described. The interior flux within a mesh is assumed to be linearly dependent on X and Y coordinates. At the mesh surfaces the linear space distribution and the P1 approximation for the anisotropic angular distribution are considered. Simple expressions for the expansion coefficients are derived. These expressions are determined by outgoing and incoming currents and are renewed after each iteration. Based on the proposed method, the two-dimensional code TPM2D has been encoded and a series of two-dimensional assembly benchmark problems have been tested. The numerical results are in good agreement with those of Sn, surface flux transport, discrete node transport, and collision probability methods.