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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.
Gregory A. Moses, John F. Santarius
Fusion Science and Technology | Volume 47 | Number 4 | May 2005 | Pages 1121-1125
Technical Paper | Fusion Energy - Inertial Fusion Technology | doi.org/10.13182/FST05-A836
Articles are hosted by Taylor and Francis Online.
The so-called ''threat spectra'' of an inertial fusion energy (IFE) high gain target (neutron, x-ray, and ion energy fraction and particle spectra) are the usual starting point for IFE reactor conceptual design. The threat spectra are typically computed using the same radiation hydrodynamics and thermonuclear burn computer simulation codes used to compute implosion, ignition and burn. We analyze the validity of this model for simulating the expansion of the direct drive IFE target plasma and for computing threat spectra. Particular attention is paid to the collisionality of the expanding plasma.