Sweep-Net: an artificial neural network for radiation transport solves

DOI10.1016/j.jcp.2020.109757OpenAlexW3048678724MaRDI QIDQ2126974

Mauricio E. Tano, Jean C. Ragusa

Publication date: 19 April 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2020.109757

zbMATH Keywords

artificial neural networksmachine learningradiation transportspeed-upsweep-nets

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Numerical analysis (65-XX)

Related Items (1)

On robustly convergent and efficient iterative methods for anisotropic radiative transfer

Uses Software

• Adam
• CuPy

Cites Work

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• Superconvergence of discontinuous Galerkin and local discontinuous Galerkin methods: eigen-structure analysis based on Fourier approach
• A multiscale discontinuous Galerkin method with the computational structure of a continuous Galerkin method
• Smart sampling and incremental function learning for very large high dimensional data
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Advances in Studies and Applications of Centroidal Voronoi Tessellations
• A simple method for generating gamma variables

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