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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.
Yoshitomo Uwamino, Hiroshi Sugita, Yuhri Kondo, Takashi Nakamura
Nuclear Science and Engineering | Volume 111 | Number 4 | August 1992 | Pages 391-403
Technical Paper | doi.org/10.13182/NSE111-391
Articles are hosted by Taylor and Francis Online.
An intense semimonoenergetic neutron field was made using a simple beryllium target system bombarded by protons of nine different energies between 20 and 40 MeV. Natural sodium, aluminum, vanadium, chromium, manganese, copper, zinc, and gold samples were irradiated at this field, and gamma rays from the samples were observed by a germanium detector. The production rates of 17 radionuclides were obtained for the nine different neutron fields, and the excitation functions of these 17 reaction channels of 23Na(n,2n)22Na, 27Al(n, α)24Na, 51V(n, α)48Sc, 51V(n,p)51Ti, 50Cr(n,3n)48Cr, 50Cr(n,2n)49Cr, 55Mn(n,4n)51Ti, 55Mn(n,4n)52Mn, 55Mn(n,2n)54Mn, 63Cu(n,3n) Cu, 63Cu(n,2n)62Cu, 65Cu(n,p)65Ni, 64Zn(n,t)62 Cu, 64Zn(n,3n)62Zn, 64Zn(n,2n)63Zn, 197Au(n,4n)194Au, and 197Au(n,2n)196Au were obtained for neutron energies up to 40 MeV by using the SAND-II and the NEUPAC unfolding codes and also least-squares fitting. The initial guess value for these methods was obtained primarily from calculations of the ALICE/LIVERMORE82 code.