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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.
David R. Boris, Zhenqiang Ma, Hao-Chih Yuan, Robert P. Ashley, John F. Santarius, Gerald L. Kulcinski, Clayton Dickerson, Todd Allen
Fusion Science and Technology | Volume 52 | Number 4 | November 2007 | Pages 1066-1069
Technical Paper | Plasma Engineering and Diagnostics | doi.org/10.13182/FST07-A1637
Articles are hosted by Taylor and Francis Online.
Using a single junction PIN (p-type, intrinsic, n-type) diode, made of silicon, and doped with boron and phosphorus, high energy protons have been converted to electricity, through ionization from electronic stopping in the silicon, at an efficiency of 0.2%. A simulation of 3.02 MeV D-D protons has been performed, using a 3 MeV linear accelerator. Proton fluxes of ~3 × 1010 protonscm-2×s-1 were incident on a PIN diode with 0.7 cm2 of surface area facing the incident protons. Losses in efficiency as a function of proton fluence are compared with dpa (displacements per atom) rates calculated using the Monte Carlo ion transport code TRIM (Transport and Ranges of Ions in Matter).