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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.
B. E. Simmons
Nuclear Science and Engineering | Volume 5 | Number 4 | April 1959 | Pages 254-256
Technical Paper | doi.org/10.13182/NSE59-A25593
Articles are hosted by Taylor and Francis Online.
A dynamic reactivity, not the reactivity in general use, is defined relative to prompt critical as ΔK = −lα, where α is the asymptotic (prompt) flux decay rate observed in a pulsed neutron experiment, and l is the prompt generation time of that same reactor made prompt critical by uniform subtraction of 1/υ poison. The dynamic reactivity coalesces near critical with the conventional perturbation reactivity δν/ν. The dynamic reactivity is physically interpretable as the amount of uniform 1/υ poison whose removal would result in criticality, times the conventional reactivity coefficient of that poison in the critical reactor. The quantity l has the physical significance of the average time taken by a neutron to cause a fission in the steady-state prompt-critical reactor; l is also the reactivity coefficient just mentioned.