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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.
Robert W. Bussard
Fusion Science and Technology | Volume 16 | Number 2 | September 1989 | Pages 231-236
Technical Note | doi.org/10.13182/FST89-A29152
Articles are hosted by Taylor and Francis Online.
A model of deuterium-deuterium (D-D) fusion in metal lattices is presented based on two phenomena: (a) reactions between virtual-state pairs of deuterons “bound” by electrons of high effective mass m* and (b) deuterium energy upscattering by fast ions from fusion or tritium reactions with virtual-state nuclear structure groups in palladium nuclei. Since m* is a decreasing function of deuterium ion bulk density n0, the exponential barrier tunneling factor decreases rapidly with m*. As a result, the fusion rate reaches a maximum at a loading density above zero but less than saturation. This can explain observations of transient neutron output from the (3He,n) branch of D-D fusion. At low energy, D-D reactions favor the (T,p) branch. Fast product tritium may be captured by palladium isotopes to form excited-state Ag*, removing tritium from the system and preventing deuterium-tritium fusion. This may decay by alpha or proton emission, yielding fast ions and excited state Rh* or Pd*. Fast ion collisional “trapping” may occur at Fermi electron speeds, enhancing in situ upscattering and yielding increased D-D reaction rates. Analysis of the dynamics of these processes suggests conditions for exponential growth.