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Two new partnerships forged in AI and nuclear sectors
The nuclear space is full of companies eager to power new AI development. At the same time, many AI companies want to provide services to the nuclear industry. It should come as no surprise, then, that two new partnerships have recently been announced that further bridge the AI and nuclear sectors.
AtkinsRéalis has announced a partnership with Nvidia that aims to leverage Nvidia’s technologies to deploy “nuclear-powered, large-scale AI factories.” Centrus Energy has announced a partnership with Palantir Technologies to use Palantir’s software in support of Centrus’s plans to expand enrichment capacity.
J. Hadermann, J. Patry
Nuclear Technology | Volume 54 | Number 3 | September 1981 | Pages 266-277
Technical Paper | Radioactive Waste Management | doi.org/10.13182/NT81-A32771
Articles are hosted by Taylor and Francis Online.
A one-dimensional radionuclide chain transport model is developed, taking into account sorption, longitudinal dispersion, and arbitrary repository concentrations. For piecewise constant geologic parameters, a semianalytic solution can be written down, when, at the layer boundaries, mass conservation is considered rigorously and flux conservation to a good approximation. The solution consists of a superposition of terms that are easily interpreted and is invariant under layer permutation and parameter scaling. A corresponding computer code RANCH has been developed. The 245Cm chain has been investigated for a broad variation of parameters of a three-layer geology. For very small retention factors only, 245Cm and 241 Am can survive migration in the geologic medium, while 237Np is reduced by at most three orders of magnitude.