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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.
Kazuo Shin, Kagetomo Miyahara, Eiji Tanabe, Yoshitomo Uwamino
Nuclear Science and Engineering | Volume 120 | Number 1 | May 1995 | Pages 40-54
Technical Paper | doi.org/10.13182/NSE95-A24104
Articles are hosted by Taylor and Francis Online.
Measurements of the double-differential thick-target neutron yield are made for 75- and 120-MeV 12C5+, 153-MeV 16O5+, and 40-MeV alpha particles bombarding carbon, aluminum, copper, and lead targets. The measured data are parameterized by using the two-component moving source model. The systematic variation of the equilibrium neutron (EN) yield with incident ions and targets is analyzed by using the thus-obtained moving source parameters, and a simple expression is proposed to describe the systematics in the EN yield. The systematic change in the nonequilibrium neutron (NEN) yield was formulated to a simple expression by using the local hot spot model. The proposed expression reproduced well the measured EN and NEN yields.
