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Conference Spotlight
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.
Yoichi Watanabe and Charles W. Maynard
Nuclear Science and Engineering | Volume 92 | Number 2 | February 1986 | Pages 212-217
Technical Paper | doi.org/10.13182/NSE86-A18168
Articles are hosted by Taylor and Francis Online.
A hybrid method for two-dimensional neutron transport calculations in (r-z) geometry has been developed. In this method the equation in void regions is solved by the discrete cones (DCN) method, whereas the equation in nonvoid regions is solved by the standard discrete ordinates (SN) method. The two methods are incorporated in one computer program so that a user does not see the difference from a program applying only the SN method. This DCN-SN hybrid method significantly mitigates the ray effects in a void compared with a solution by the same order SN. The method, however, requires a little more computing effort and it is difficult for the method to yield a sufficiently accurate solution for narrow duct streaming problems.