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Analyzing microstructure relationships in porous copper using a multi-method machine learning-based approach

Crossref DOI link: https://doi.org/10.1038/s43246-024-00493-5

Published Online: 2024-04-24

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

Authors

Wijaya, Andi http://orcid.org/0000-0002-4034-7581
Wagner, Julian

Sartory, Bernhard

Brunner, Roland http://orcid.org/0000-0002-0079-3288
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Text and Data Mining valid from 2024-04-24

Version of Record valid from 2024-04-24
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Article History

Received: 8 August 2023

Accepted: 4 April 2024

First Online: 24 April 2024

Competing interests

: The authors declare no competing interests.