Upsampling Monte Carlo Reactor Simulation Tallies in Depleted Sodium-Cooled Fast Reactor Assemblies Using a Convolutional Neural Network

The computational demand of neutron Monte Carlo transport simulations can increase rapidly with the spatial and energy resolution of tallied physical quantities. Convolutional neural networks have been used to increase the resolution of Monte Carlo simulations of light water reactor assemblies while...

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Principais autores:	Jessica Berry, Paul Romano, Andrew Osborne
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-05-01
Serija:	Energies
Teme:	OpenMC convolutional neural network residual network neutron Monte Carlo sodium-cooled fast reactors
Online dostop:	https://www.mdpi.com/1996-1073/17/9/2177
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