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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.
Luis Chacón, George H. Miley
Fusion Science and Technology | Volume 33 | Number 2 | March 1998 | Pages 182-209
Technical Paper | doi.org/10.13182/FST98-A28
Articles are hosted by Taylor and Francis Online.
Fusion fuel of D-3He combines a high-energy yield per fusion reaction with a relatively high fusion cross section. Moreover, its nuclear reaction (D + 3He → p + , 18.3 MeV) minimizes neutrons and maximizes charged fusion products, enabling increased energy recovery efficiency by direct conversion. However, scarce 3He terrestrial resources have deterred research and development on this alternative. Production of 3He through inertial electrostatic confinement breeders, which supply 3He to field-reversed-configuration reactors (called satellites in reference to their dependence on the breeder) is explored. The breeder-satellite system is analyzed in terms of both energy balance and economics. The energy balance takes the net energy gain of the global system as the key parameter. The economic study determines the competitiveness of breeding with respect to 3He lunar mining, which was already shown to be an ultimately attractive route for commercial development.