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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.
Hideo Kozima, Kaori Kaki, Masayuki Ohta
Fusion Science and Technology | Volume 33 | Number 1 | January 1998 | Pages 52-62
Technical Paper | doi.org/10.13182/FST98-A15
Articles are hosted by Taylor and Francis Online.
More than 25 typical experimental data sets of the cold fusion phenomenon have been analyzed phenomenologically by the TNCF (trapped neutron catalyzed fusion) model based on an assumption of the quasi-stable existence of the thermal neutrons in solids with special characteristics, giving a consistent explanation of the whole data set. The densities of the assumed thermal neutron in solids have been determined in the analyses from various experimental data and were in a range of 103 to 1012 cm-3. The success of the analyses verifies the validity of the assumption of the trapped thermal neutron. Physical bases of the model were speculated, facilitating the quasi-stable existence of the thermal neutron in the crystals, thereby satisfying definite conditions.
