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Ryan Cohn

Carnegie Mellon University

Neural message passing for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution

Oct 18, 2021
Ryan Cohn, Elizabeth Holm

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* 17 pages, 11 figures

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Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data

Jul 16, 2020
Ryan Cohn, Elizabeth Holm

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* 18 pages, 13 figures, Submitted to Integrating Materials and Manufacturing Innovation on July 7, 2020

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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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