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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.
Toshikazu Takeda, Kazuo Azekura, Tadahiro Ohnishi
Nuclear Science and Engineering | Volume 62 | Number 4 | April 1977 | Pages 709-715
Technical Paper | doi.org/10.13182/NSE77-A15211
Articles are hosted by Taylor and Francis Online.
An improved response matrix method has been proposed to effectively take into account the anisotropy of neutron angular distributions. The method utilizes a relation between the P0 and P1 components of a neutron angular distribution instead of calculating them independently. Hence the number of unknowns as well as computing time can be kept about the same as in the conventional response matrix method which adopts an isotropic approximation of a neutron angular distribution. The proposed method has been evaluated by applying it to one-dimensional slab and two-dimensional hexagonal systems. The results are quite promising: In comparison with the reference SN calculation, the difference of the neutron multiplication factor and power distribution is within 0.1% Δk/k and 2%, respectively, and furthermore, the computing time is reduced to below one-third.