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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.
Kazuhiro Sawa, Kazuo Minato, Tsutomu Tobita, Kousaka Fukuda
Nuclear Technology | Volume 118 | Number 2 | May 1997 | Pages 123-131
Technical Paper | Nuclear Fuel Cycle | doi.org/10.13182/NT97-A35372
Articles are hosted by Taylor and Francis Online.
Fractional release of cesium from coated UO2 particles for the high-temperature gas-cooled reactor (HTGR) is investigated. Data are measured in an irradiation test that utilizes three kinds of coated particles of artificially failed particles; they are simulating through-coatings failed particles, as-manufactured SiC-failed particles, and intact particles. Through the comparison of measured and calculated fractional releases, a model is revised to accurately evaluate cesium fractional release. The fractional releases of cesium from fuel compacts, which are manufactured by the same method as the high-temperature engineering test reactor fuel and are irradiated in the sweep gas capsule, are also evaluated. The result shows that the revised model can accurately predict measured fractional releases.