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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.
Kenan Ünlü, Dietrich H. Vincent
Nuclear Science and Engineering | Volume 110 | Number 4 | April 1992 | Pages 386-393
Technical Paper | doi.org/10.13182/NSE92-A23912
Articles are hosted by Taylor and Francis Online.
Helium trapping and release are studied for the nickel-rich amorphous alloys Ni75.1 Cr14.0-P10.1C0.08, Ni63.5Zr36.5, and Ni87.7P12.3. Helium-3 is introduced into the samples by implantation at 150-keV energy. The depth distribution of the implanted helium is observed by neutron depth profiling employing the reaction 3He(n, p)3H. Two implantation doses are used: 1 × 1016 and 5 × 1016 3He/cm . Both implantation doses were chosen to be low enough to avoid blistering or flaking of the surface of the samples. The helium release behavior of the samples is studied by taking depth profiles after each annealing stage. At the same time, electron diffraction is used on parallel samples to observe the microstructure of the samples as a function of annealing. The annealing sequence for each material is broken off when electron diffraction indicated the existence of relatively large crystals in a sample. Only a small fraction of the implanted helium is released in most cases, and a clear correlation between helium release and recrystallization can be found in only one case.