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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.
W. L. Whittemore
Nuclear Science and Engineering | Volume 33 | Number 2 | August 1968 | Pages 195-208
Technical Paper | doi.org/10.13182/NSE68-A20657
Articles are hosted by Taylor and Francis Online.
The General Atomic Neutron Velocity Selector was used to study the details of neutron scattering in liquid D2O maintained at 300° K. The scattering into various angular directions between 30 and 120° is studied for incident neutrons with energies ranging up to ∼0.65 eV. The energy-transfer cross sections, corrected for plural scattering effects, are evaluated to provide data in regions of large energy and momentum transfers not previously available and not readily accessible to experimenters using a reactor as a source of neutrons. The present results agree satisfactorily with the previous results but indicate that the previous results contain effects due to plural scattering in the sample. The present results also are compared with theory. Although there are some regions of acceptable agreement, other regions of poorer agreement indicate that each of these theoretical treatments may need further attention.