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Neural Networks for Boltzmann Transport by Antonio Carlos Firmino Junior is a document available to read on EtoBox.

What is Neural Networks for Boltzmann Transport about?

This paper proposes using neural networks to solve the discretised Boltzmann transport equations, which describe particle transport. Specifically, it develops a 4D multigrid method using a U-net architecture to solve the equations in 2D space and 2D direction. It also uses an outer iteration in a single neural network for energy group grouping. This approach allows leveraging optimized AI software for efficient implementations on different hardware like GPUs.

Author

Antonio Carlos Firmino Junior

Language

EN