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NSGAN: a non-dominant sorting optimisation-based generative adversarial design framework for alloy discovery

Crossref DOI link: https://doi.org/10.1038/s41524-024-01294-7

Published Online: 2024-05-28

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

Authors

Li, Z.

Birbilis, N. https://orcid.org/0000-0002-7910-7470
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Text and Data Mining valid from 2024-05-28

Version of Record valid from 2024-05-28
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Article History

Received: 16 September 2023

Accepted: 11 May 2024

First Online: 28 May 2024

Competing interests

: The authors declare no competing interests.