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Thea Energy collaborates with AI companies to develop stellarator digital twin
Thea Energy has announced it is working with Nvidia and Synopsys to develop a digital twin of its stellarator fusion power plant concept, called Helios.
The team, which also includes Argonne National Laboratory and Princeton Plasma Physics Laboratory, will “analyze and scale vast datasets, rapidly evolve Thea Energy’s plant designs, and stress-test system operation in a workflow that outpaces traditional tools,” according to the company.
M. N. Moore
Nuclear Science and Engineering | Volume 6 | Number 5 | November 1959 | Pages 448-452
Technical Paper | doi.org/10.13182/NSE59-A25684
Articles are hosted by Taylor and Francis Online.
A formalism is developed to calculate the power noise transfer function for any kinetic model under the assumption that noise may originate in any or all loops of the system. Reactor kinetic equations are generalized to the macrostochastic equations satisfied by the pile noise. From these, the differential equations of the various correlation functions are determined and solved for the noise spectra. The case of a single feedback, one-delay group model is treated in detail.