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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.
Andrey V. Anikeev, Petr A. Bagryansky, Klaus Noack, Alexandre A. Ivanov
Fusion Science and Technology | Volume 43 | Number 1 | January 2003 | Pages 78-82
Heating | doi.org/10.13182/FST03-A11963567
Articles are hosted by Taylor and Francis Online.
At present, the Gas Dynamic Trap (GDT) facility of the Budker Institute Novosibirsk is being upgraded. The first stage of the upgrade is the Synthesized Hot Ion Plasmoid (SHIP) experiment. It aims, on the one hand, at the investigation of plasmas which are expected to appear in the region of high neutron production in a GDT based fusion neutron source proposed by the Budker Institute and, on the other hand, at the investigation of plasmas the parameters of which have never been achieved before in magnetic mirrors. In parallel to experimental research at the GDT an Integrated Transport Code System (ITCS) is under development in collaboration with the Forschungszentrum Rossendorf. It is to calculate the relevant physical effects which are connected with neutral gas, background plasma and with the high-energetic ion component inside the central cell of the GDT and later inside the neutron source.
This contribution explains the concept of the SHIP experiment and presents the results of first calculations by means of ITCS modules.