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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.
K. W. Burn
Nuclear Science and Engineering | Volume 119 | Number 1 | January 1995 | Pages 44-79
Technical Paper | doi.org/10.13182/NSE95-A24070
Articles are hosted by Taylor and Francis Online.
A general volumetric particle bifurcation capability has been inserted into the Direct Statistical Approach (DSA) surface parameter and cell models. The resulting extended DSA describes the second moment and time functions in terms of phase-space surface splitting/Russian roulette parameters (surface parameter model) or phase-space cell importances (cell model) in the presence of volumetric particle bifurcations including both natural events [such as (n,xn) or gamma production from neutron collisions] and artificial events (such as DXTRAN). At the same time, other limitations in the DSA models (concerning tally scores direct from the source and tracks surviving an event at which a tally score occurs) are removed. Given the second moment and time functions, the foregoing surface or cell parameters may then be optimized.