Crossmark

Domain knowledge and interpretable machine learning for designing high performance high‐entropy alloys/graphene composite

Crossref DOI link: https://doi.org/10.1007/s12598-025-03531-4

Published Online: 2025-08-14

Published Print: 2025-11

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

Authors

Cheng, Duan‐Jie

Zeng, Fang‐Fang

Ruan, Yun‐Jun

Liang, Yong‐Chao

Liu, Qi‐Bin

Dong, Ke‐Jun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (11964005)

National Natural Science Foundation of China (12464026)

National Natural Science Foundation of China (11964005)

National Natural Science Foundation of China (12464026)

Natural Science Special (Special-term Professor) Research Foundation of Guizhou University ([2022]C04)

Guiyang City Science and Technology Plan Project ([2024]2-20)

Guizhou Provincial Department of Education Youth Science and Technology Elite Talent Project ([2024]320)
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Text and Data Mining valid from 2025-08-14

Text and Data Mining valid from 2025-08-14

Version of Record valid from 2025-08-14
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Article History

Received: 31 March 2025

Revised: 24 June 2025

Accepted: 26 June 2025

First Online: 14 August 2025

Declarations

:

: The authors declare that they have no conflict of interest.