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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.
J. Mayers
Nuclear Science and Engineering | Volume 88 | Number 2 | October 1984 | Pages 164-172
Technical Paper | doi.org/10.13182/NSE84-A28400
Articles are hosted by Taylor and Francis Online.
The depolarization of a neutron beam passing through a system of magnetically misaligned single domain particles is examined and simulated using a Monte Carlo program. The results of the simulations are in excellent agreement with those of analytic calculations within the regimes where such calculations are applicable. The simulations have been used in the estimation of the polarizing efficiency and transmittance of a resonance absorption filter containing partially aligned particles of SmCo5. It is shown that the application of strong magnetic fields (∼2 T) should significantly improve the filter performance. A method of measuring this improvement is suggested.