Shallow Recurrent Decoders
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Announce Type: new Abstract: In reactor physics, neutronics can be treated with different fidelity levels, according to the needs of the user. On one hand, the precise modeling of neutrons' behaviour in reactor physics is often expensive and time-consuming due to the high computational costs to numerically solve the Boltzmann transport equation.
Multi-Fidelity Learning with Shallow Recurrent Decoders for Reactor Physics
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