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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. Borsari, R. Fioresi, T. Trombetti
Nuclear Science and Engineering | Volume 112 | Number 4 | December 1992 | Pages 301-320
Technical Paper | doi.org/10.13182/NSE92-2
Articles are hosted by Taylor and Francis Online.
The use of piecewise constant functions (PCFs) in two-angle linear transport theory to represent the scattering cross sections σ(v), v ∈ [-1,1], and the angular scattering source density S(), ≡ (μ, φ) ∈ on a partition (SN or finite element discretization, for example) of the unit sphere of directions is considered. Average oriented transition cross sections σtn (±,B',B) describe scattering from ≡ (, )∈ B’ ⊂ to ≡ (μ,φ)∈ B ⊂ with the constraint 0< ±(φ - φ') <π. Unit steps σ(v) = H(v —γ) and σ(v) = δ(v — γ) are pretreated on an “intrinsic” γ grid for the chosen partition. All σtn(±,B',B) are derived by interpolation. The invariance properties of the σtn’s and the permitted B'→B transition (σtn > 0) are identified. Then, the PCF representation of S() is obtained with a minimum of work. Angular rebalancing restores the correct zeroth- and first-order angular moments without losing the nonnegativity of σtn and S. The preferential domains of application of this PCF method and the classical spherical harmonics method (which may violate nonnegativity) are discussed.