Machine learning guided design of Ce-rich rare earth permanent magnets with outstanding comprehensive magnetic properties
This work pioneers the integration of single- and multi-objective machine learning using Pareto frontier analysis for sustainable permanent magnet design.
Authors
- Zhijian Yang (ORCID: https://orcid.org/0000-0002-0673-2179)
- Xiaofeng Nie
- Xiao Chi (ORCID: https://orcid.org/0000-0002-9350-0252)
- Xiaoxiao Zhang (ORCID: https://orcid.org/0000-0002-0312-7205)
- Weiqiang Liu (ORCID: https://orcid.org/0000-0002-4690-4844)
- Ming Yue (ORCID: https://orcid.org/0000-0001-6872-3991)
- Haochuan Yang
- Jie Zhang (ORCID: https://orcid.org/0000-0001-9638-574X)
- Haibo Xu (ORCID: https://orcid.org/0009-0004-6489-9235)
Institutions
- Chinese Academy of Sciences (CN)
- Beijing University of Technology (CN)
Publication Details
- Journal
- Journal of Materials Chemistry C
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5tc03056k
- Citations
- 1
- Primary Topic
- Magnetic Properties of Alloys
- Type
- article
- Field-Weighted Citation Impact
- 0.43