A Synergistic Framework for Hardness Prediction and Design of High-Entropy Alloys Based on Deep Learning and Intelligent Optimization Algorithms

Kai Wang, Xuewen Zhou, Chuan Liu, Xiaohui Li

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DOI: 10.1021/acsomega.5c05550
Published: 2025-09-01
Container: ACS Omega
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.5c05550,
  title = {A Synergistic Framework for Hardness Prediction and Design of High-Entropy Alloys Based on Deep Learning and Intelligent Optimization Algorithms},
  author = {Kai Wang and Xuewen Zhou and Chuan Liu and Xiaohui Li},
  year = {2025},
  journal = {ACS Omega},
  doi = {10.1021/acsomega.5c05550},
  url = {https://doi.org/10.1021/acsomega.5c05550}
}

RIS

TY  - JOUR
TI  - A Synergistic Framework for Hardness Prediction and Design of High-Entropy Alloys Based on Deep Learning and Intelligent Optimization Algorithms
AU  - Kai Wang
AU  - Xuewen Zhou
AU  - Chuan Liu
AU  - Xiaohui Li
PY  - 2025
JO  - ACS Omega
DO  - 10.1021/acsomega.5c05550
UR  - https://doi.org/10.1021/acsomega.5c05550
ER  -

APA

Wang, K., Zhou, X., Liu, C., & Li, X. (2025). A Synergistic Framework for Hardness Prediction and Design of High-Entropy Alloys Based on Deep Learning and Intelligent Optimization Algorithms. ACS Omega. https://doi.org/10.1021/acsomega.5c05550

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crossref · retrieved 2026-09-26T12:09:05.097Z