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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.
Christopher C. Pain, Matthew D. Eaton, Jefferson L. M. A. Gomes, Cassiano R. E. de Oliveira, Adrian P. Umpleby, Kemal Ziver, Ron T. Ackroyd, Bryan Miles, Antony J. H. Goddard, H. van Dam, T. H. J. J. van der Hagen, D. Lathouwers
Nuclear Science and Engineering | Volume 144 | Number 3 | July 2003 | Pages 242-257
Technical Note | doi.org/10.13182/NSE03-A2357
Articles are hosted by Taylor and Francis Online.
Previous work into the space-dependent kinetics of the conceptual nuclear fluidized bed has highlighted the sensitivity of fission power to particle movements within the bed. The work presented in this paper investigates a method of stabilizing the fission power by making it less sensitive to fuel particle movement. Steady-state neutronic calculations are performed to obtain a suitable design that is stable to radial and axial fuel particle movements in the bed. Detailed spatial/temporal simulations performed using the finite element transient criticality (FETCH) code investigate the dynamics of the new reactor design. A dual requirement of the design is that it has a moderate power output of ~300 MW(thermal).