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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.
Hisamichi Funaba, Kiyomasa Watanabe, Satoru Sakakibara, Ichihiro Yamada, Kenji Tanaka, Tokihiko Tokuzawa, Masaki Osakabe, Yoshiro Narushima, Noriyoshi Nakajima, Masayuki Yokoyama, Hiroshi Yamada, Osamu Kaneko, Kazuo Kawahata, LHD Experimental Group, Sadayoshi Murakami
Fusion Science and Technology | Volume 51 | Number 1 | January 2007 | Pages 129-137
Technical Paper | Stellarators | doi.org/10.13182/FST07-A1294
Articles are hosted by Taylor and Francis Online.
Local transport properties of high-beta plasmas in the Large Helical Device are studied by comparing the beta dependence of the experimental results with that of the gyro-reduced Bohm-type transport coefficients. The gradual degradation of global confinement in the high-beta regime seems to be mainly caused by the increment in the local transport at the peripheral region. Effects of the resistive pressure-gradient-driven (g-mode) turbulence on the peripheral transport are also studied. The comparison of the experimental transport coefficients and the calculation results shows that the resistive g-mode can be considered as one of the causes of this degradation.