MIT Open Access Articles Using Deep Learning to Predict Fracture Patterns in Crystalline Solids The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation: Yu-Chuan Hsu, Chi-Hua Yu, Markus J. Buehler, Using Deep Learning to Predict Fracture Patterns in Crystalline Solids, Matter, Volume 3, Issue 1, 2020 © 2020 Elsevier Inc. As Published: 10.1016/J.MATT.2020.04.019 Publisher: Elsevier BV Persistent URL: https://hdl.handle.net/1721.1/132724 Version: Author's final manuscript: final author's manuscript post peer review, without publisher's formatting or copy editing Terms of use: Creative Commons Attribution-NonCommercial-NoDerivs License
Using Deep Learning to Predict Fracture Patterns in Crystalline Solids
May 21, 2023
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