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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.
Hiromu Momota, George H. Miley
Fusion Science and Technology | Volume 40 | Number 1 | July 2001 | Pages 56-65
Technical Paper | doi.org/10.13182/FST01-A180
Articles are hosted by Taylor and Francis Online.
"Double-well" potential structure (virtual cathode formation) is studied in a stationary spherical inertial electrostatic confinement (SIEC) using the nonlinear Poisson's equation and particle densities derived from kinetic theory. A novel method to obtain a spherically symmetric stationary distribution function is introduced and an integral-differential equation is simplified by applying a relevant approximated formula for an integral. Electron and ion beams are collision-free, and their velocities are roughly aligned toward the spherical center, but with a slight divergence. Analyses show that the angular momentum of ions and the smaller one of electrons create a virtual cathode, i.e., a double-well structure, of the electrostatic potential on a potential hill near the center. The density limit of an SIEC is exhibited, and the condition relevant to form a deep potential well is presented.