Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning

Cuixia Liu, Meng Meng, Xian Luo

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DOI: 10.3390/met15070733
Published: 2025-06-30
Container: Metals
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/met15070733,
  title = {Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning},
  author = {Cuixia Liu and Meng Meng and Xian Luo},
  year = {2025},
  journal = {Metals},
  doi = {10.3390/met15070733},
  url = {https://doi.org/10.3390/met15070733}
}

RIS

TY  - JOUR
TI  - Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning
AU  - Cuixia Liu
AU  - Meng Meng
AU  - Xian Luo
PY  - 2025
JO  - Metals
DO  - 10.3390/met15070733
UR  - https://doi.org/10.3390/met15070733
ER  -

APA

Liu, C., Meng, M., & Luo, X. (2025). Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning. Metals. https://doi.org/10.3390/met15070733

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crossref · retrieved 2026-11-10T08:27:55.051Z