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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.
H. Y. Khater, W. F. Vogelsang
Fusion Science and Technology | Volume 19 | Number 3 | May 1991 | Pages 864-869
Advanced Reactor | doi.org/10.13182/FST91-A29453
Articles are hosted by Taylor and Francis Online.
Experimental radionuclide production cross sections have been collected for protons with energy similar to those protons produced in a D-3He fusion reactor. Proton energy-dependent cross sections (Ep < 14.7 MeV) were used along with the proton stopping data of Anderson and Ziegler to produce a proton-induced thick-target radionuclide activation yields library. In its present form, the library contains thick-target yield data for 164 radioactive isotopes. The library has been used in an activation analysis study aimed at investigating the effect of proton-induced activity on the total level of radioactivity generated in Apollo-L2 (a D-3He tokamak fusion power reactor). Because protons have a short range in solid targets, their effect has been noticed only within the first wall of the reactor. Results showed that while neutron-induced specific activity generated in the reactor Tenelon first wall is 8.1 × 107 Ci/m3, proton-induced specific activity only amounted to 6.37 × 105 Ci/m3.