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Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure

Crossref DOI link: https://doi.org/10.1038/s41529-025-00632-4

Published Online: 2025-07-04

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

Authors

Song, Guangxuan

Fu, Dongmei

Lin, Yongjie

Ma, Lingwei

Zhang, Dawei
Funding

Funding for this research was provided by:

National Key R&D Program of China (2024YFF0728900)

National Environmental Corrosion Platform of China (KXJS2023002, KXJS2023002)
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Text and Data Mining valid from 2025-07-04

Version of Record valid from 2025-07-04
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Article History

Received: 12 March 2025

Accepted: 17 June 2025

First Online: 4 July 2025

Competing interests

: The authors declare no competing interests.

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