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Prediction and control of fracture paths in disordered architected materials using graph neural networks

Crossref DOI link: https://doi.org/10.1038/s44172-023-00085-0

Published Online: 2023-06-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Karapiperis, Konstantinos

Kochmann, Dennis M. https://orcid.org/0000-0002-9112-6615
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Text and Data Mining valid from 2023-06-02

Version of Record valid from 2023-06-02
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Article History

Received: 20 January 2023

Accepted: 23 May 2023

First Online: 2 June 2023

Competing interests

: The authors declare no competing interests.