252 citations · 559 across the 12 of their papers we have counts for
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eess.IV2020
Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials
Tim Hsu, William K. Epting, Hokon Kim +5
Using a large-scale, experimentally captured 3D microstructure dataset, we implement the generative adversarial network (GAN) framework to learn and generate 3D microstructures of…
cs.CV2020★ 252 cited
Overview: Computer vision and machine learning for microstructural characterization and analysis
Elizabeth A. Holm, Ryan Cohn, Nan Gao +4
The characterization and analysis of microstructure is the foundation of microstructural science, connecting the materials structure to its composition, process history, and proper…