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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.
R. K. Osborn
Nuclear Science and Engineering | Volume 3 | Number 1 | January 1958 | Pages 29-37
Technical Paper | doi.org/10.13182/NSE58-A25443
Articles are hosted by Taylor and Francis Online.
An explicit form for the function representing the probability that a neutron with velocity v′ shall be scattered into an element of volume in velocity space d3υ about v, by elastic collisions with atoms of arbitrary mass number A in a Maxwell-Boltzmann distribution characterized by a temperature T, is derived. Analytical representations of this probability are presented for scattering cross sections which are either independent of relative speed or exhibit a Gaussian dependence. The scattering probability resulting from the former assumption is examined in some detail, and then employed in a calculation of the mean energy change per collision.