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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.
H. Okuda
Nuclear Science and Engineering | Volume 64 | Number 1 | September 1977 | Pages 41-48
Technical Paper | doi.org/10.13182/NSE77-A27075
Articles are hosted by Taylor and Francis Online.
Plasma simulation models that use particles and that have been developed for studying the microscopic behavior of a confined plasma in a magnetic field are described. The first model is developed to investigate the anomalous diffusion of particles and energy due to low-frequency electrostatic microinstabilities in cylindrical and toroidal systems. The model makes use of the combination of eigenfunction expansion in one direction and the multipole expansion on a two-dimensional spatial grid for solving Maxwell's equations and for pushing particles. The second model is developed to study the neutral-beam injection heating of a tokamak plasma, taking into account the spatial variation of plasma parameters and the finite ion-beam banana orbit. The self-consistent electric and magnetic fields are totally ignored in this model, and the Fokker-Planck collisions on the beam ions due to background ions and electrons are built in through the Monte Carlo method.