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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.
Ulrich Grundmann, Frank Hollstein
Nuclear Science and Engineering | Volume 133 | Number 2 | October 1999 | Pages 201-212
Technical Paper | doi.org/10.13182/NSE99-A2082
Articles are hosted by Taylor and Francis Online.
A new nodal method HEXNEM2 for hexagonal geometry is described. The method is based on a two-dimensional expansion of the intranodal fluxes. Polynomials up to the second order and exponential functions are used in each group. By this method, the singular terms occurring in the transverse integration methods are avoided. Side-averaged and corner-point values of fluxes and currents are used for the coupling of nodes. A calculation scheme for the outgoing partial currents at the sides and similar expressions for the corners from given incoming values are used in the inner iteration, which gives a fast-running scheme. The method is tested against two-dimensional hexagonal benchmark problems for the VVER-type reactors. The results show that the multiplication factor and nodal powers are predicted accurately. A considerable improvement can be shown in the results for the VVER-1000 benchmarks compared with the method developed previously for the code DYN3D and the simpler method HEXNEM1.