In a new study of reactor physics published in the journal Nuclear Science and Techniques, researchers from Sichuan University, Shanghai Jiao Tong University, have introduced two innovative neural networks to address the longstanding challenges associated with K-eigenvalue problems in neutron diffusion theory. These problems, which are fundamental in the nuclear engineering realm, are pivotal for the simulation and analysis of nuclear reactors.
from General Physics News - Science News, Physics News, Physics, Material Sciences, Science https://ift.tt/2BdK1iq
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