A generative machine learning model for the 3D reconstruction of material microstructure and performance evaluation
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference77 articles.
1. Ultra-efficient reconstruction of 3D microstructure and distribution of properties of random heterogeneous materials containing multiple phases;Gao;Acta Mater,2021
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3. High-throughput 3D reconstruction of stochastic heterogeneous microstructures in energy storage materials;Zhang;Npj Comput. Mater.,2019
4. Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views;Kang;Light Sci. Appl.,2021
5. Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries;Gayon-Lombardo;Npj Comput. Mater.,2020
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