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Oklo continues plutonium fuel development with LANL and Nvidia partnership
Oklo announced a new partnership with Los Alamos National Laboratory and Nvidia to perform AI-enabled research on nuclear infrastructure and fuel.
The partnership is focused on exploring plutonium-bearing fuels, including the development of science-based AI models to support fuel validation and materials science and fabrication research and development. The team will also be exploring the development of nuclear-powered AI computing centers at LANL.
Mark Goldsmith
Nuclear Science and Engineering | Volume 17 | Number 1 | September 1963 | Pages 111-124
Technical Paper | doi.org/10.13182/NSE17-111-124
Articles are hosted by Taylor and Francis Online.
A number of problems in reactor analysis require the determination of the second largest reactor eigenvalue. If one limits himself to a one-velocity description of neutron diffusion, this eigenvalue and the corresponding eigenfunction may be determined by familiar methods. When (as is almost universally the case) one must consider more than one energy group of neutrons, the neutron diffusion equations are no longer self-adjoint and the customary analysis yields information only about the eigenfunction of largest eigenvalue. In the present work the symmetry properties of reactor eigenfunctions have been applied to the calculation of the first few reactor eigenvalues. Each reactor has geometrical symmetry elements that enable one to define what is known as the symmetry group of the reactor, and the transformations of the reactor under the elements of this group enable one to determine the degeneracy and symmetry properties of the reactor eigenfunctions. After a detailed review of the necessary group theoretical fundamentals, the eigenfunctions of a reactor with a trigonal control element are investigated and the adaptation of an existing diffusion theory code to the computation of higher reactor eigenvalues discussed.