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Conference Spotlight
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.
S. Woodruff, J. E. Stuber, C. Bowman, P. E. Sieck, P. A. Melnik, C. A. Romero-Talamás, J. B. O’Bryan, R. L. Miller
Fusion Science and Technology | Volume 72 | Number 4 | November 2017 | Pages 705-712
Technical Note | doi.org/10.1080/15361055.2017.1350488
Articles are hosted by Taylor and Francis Online.
A design point is presented here for a prototype fusion neutron source for waste transmutation ( n/s), based on the adiabatic compression of a compact torus (spheromak). The design utilizes the CORSICA (2D equilibrium) and NIMROD (3D time-dependent MHD) codes as well as analytic modeling with target parameters Rinitial = 0.5 m, Rfinal = 0.167 m, Tinitial = 0.4 keV, Tfinal = 4 keV, ninitial = 2 × 1020 m–3 and nfinal = 50 × 1020 m–3, with radial convergence of C = 3. 3D time-dependent simulations of spheromak compression agree well with analytic models for adiabatic compression, if the run-in time . Knowing required, we design coils and passive structure (with CORSICA) to ensure stability; then design the capacitor bank needed to both form the target plasma and drive coils. We specify target parameters for the compression in terms of plasma beta, formation efficiency and energy confinement.
