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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.
Norihiro Doda, Yasushi Okano, Hisashi Ninokata
Nuclear Technology | Volume 144 | Number 2 | November 2003 | Pages 175-185
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT03-A3438
Articles are hosted by Taylor and Francis Online.
A numerical simulation thermal-hydraulics code called SPOOL based on computational fluid dynamics considering sodium reaction and aerosol transport is developed. Sodium pool fires are simulated using the SPOOL code, and periodic oscillation of the flame is observed with frequency similar to that observed for small-scale pool fire experiments with industrial fuels. The calculated mass-burning rate differs slightly from experimental results, yet it increases with pool temperature in agreement with experimental trends. The mass flux of aerosol driven by thermophoresis is calculated to be about 100 times larger than that by gravity, and the aerosols become concentrated at the edge of the pool. The release fraction, obtained by dividing the total mass of aerosol released into the atmosphere by that produced, increases with pool temperature in qualitative agreement with experiments.