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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. Cuperman, B. Levush
Nuclear Science and Engineering | Volume 81 | Number 1 | May 1982 | Pages 45-54
Technical Paper | doi.org/10.13182/NSE82-A19593
Articles are hosted by Taylor and Francis Online.
The ion beam-pellet interaction is investigated by using a time-dependent particle tracking algorithm for the slowing down of the bombarding ions. Model equations for energy and momentum deposition are developed and solved with the aid of a numerical code that describes the beam-pellet interaction as well as the subsequent heating and compression of the target. Results of calculations carried out for solid deuterium-tritium pellets using beams of deuterons, alpha particles, and lithium ions are presented and discussed. Two main conclusions are found to hold, namely: 1. Consideration of the finite thermalization time of the ion in the transport process results in slower heating and compression of the pellet as well as in smaller thermonuclear yield ratios. 2. Taking into account the momentum deposition of the bombarding ions in the pellet also provides different thermonuclear yields for low initial ion energies; for high initial ion energies, the effect of the momentum deposition is negligible.