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Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials


Jun 22, 2020
Tim Hsu, William K. Epting, Hokon Kim, Harry W. Abernathy, Gregory A. Hackett, Anthony D. Rollett, Paul A. Salvador, Elizabeth A. Holm

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* submitted to JOM 

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Overview: Computer vision and machine learning for microstructural characterization and analysis


May 28, 2020
Elizabeth A. Holm, Ryan Cohn, Nan Gao, Andrew R. Kitahara, Thomas P. Matson, Bo Lei, Srujana Rao Yarasi

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* submitted to Materials and Metallurgical Transactions A 

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High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel


May 04, 2018
Brian L. DeCost, Toby Francis, Elizabeth A. Holm

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* Submitted for peer review. Full supplementary materials will be available at https://holmgroup.github.io/publications/ 

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A comparative study of feature selection methods for stress hotspot classification in materials


Apr 19, 2018
Ankita Mangal, Elizabeth A. Holm

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* under review in Integrating Materials and Manufacturing Innovation 

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Building Data-driven Models with Microstructural Images: Generalization and Interpretability


Nov 01, 2017
Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig

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