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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.
Thomas E. Booth, R. Arthur Forster, Roger L. Martz
Nuclear Technology | Volume 180 | Number 3 | December 2012 | Pages 355-371
Technical Paper | Special Issue on the Initial Release of MCNP6 / Radiation Transport and Protection | doi.org/10.13182/NT12-A15349
Articles are hosted by Taylor and Francis Online.
Improvements incorporated into MCNP variance reduction methodology and code releases since 2000 are discussed. Some of the improvements are modifications or generalizations of older techniques, and some are entirely new. In particular, pulse-height-tally variance reduction is now possible in MCNP, and the dxtran technique has been generalized to allow an arbitrary nesting of dxtran spheres. A new precollision, next-event estimator is discussed along with flux-at-a-point image tallies. Additionally, the event log analyzer is a tool designed to help the user understand what causes the variance in the user's particular MCNP calculation.