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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.
Yangmei Fan, Bangjiao Ye, Zhongmin Wang, Rongdian Han, Xiaoqi Yu, Huaijiang Du, Zhenxi Xiao
Fusion Science and Technology | Volume 33 | Number 4 | July 1998 | Pages 462-467
Technical Paper | doi.org/10.13182/FST98-A45
Articles are hosted by Taylor and Francis Online.
Proton emissions from the reaction of neutrons with stainless steel at a 14.6-MeV neutron energy are measured using a multitelescope system. A 1Cr18Ni9Ti (Type 321) stainless steel is used. The double-differential cross sections (DDCS) of 16 reaction angles from 25 to 165 deg are obtained in this measurement. The energy spectra and the angular distributions of proton emissions are obtained from the DDCS. The angular distributions show a slightly energy-dependent forward-backward asymmetry. The total proton emission cross section is 229 ± 16 mb for a proton energy >2 MeV.
