Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning
- DOI
- 10.1080/21663831.2020.1815093
- Published
- 2020-09-27
- Container
- Materials Research Letters
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/21663831.2020.1815093,
title = {Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning},
author = {Zijun Qin and Zi Wang and Yunqiang Wang and Lina Zhang and Weifu Li and Jin Liu and Zexin Wang and Zihang Li and Jun Pan and Lei Zhao and Feng Liu and Liming Tan and Jianxin Wang and Hua Han and Liang Jiang and Yong Liu},
year = {2020},
journal = {Materials Research Letters},
doi = {10.1080/21663831.2020.1815093},
url = {https://doi.org/10.1080/21663831.2020.1815093}
}RIS
TY - JOUR TI - Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning AU - Zijun Qin AU - Zi Wang AU - Yunqiang Wang AU - Lina Zhang AU - Weifu Li AU - Jin Liu AU - Zexin Wang AU - Zihang Li AU - Jun Pan AU - Lei Zhao AU - Feng Liu AU - Liming Tan AU - Jianxin Wang AU - Hua Han AU - Liang Jiang AU - Yong Liu PY - 2020 JO - Materials Research Letters DO - 10.1080/21663831.2020.1815093 UR - https://doi.org/10.1080/21663831.2020.1815093 ER -
APA
Qin, Z., Wang, Z., Wang, Y., Zhang, L., Li, W., Liu, J., Wang, Z., Li, Z., Pan, J., Zhao, L., Liu, F., Tan, L., Wang, J., Han, H., Jiang, L., & Liu, Y. (2020). Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning. Materials Research Letters. https://doi.org/10.1080/21663831.2020.1815093
Source records
- crossref · retrieved 2026-09-26T09:43:10.360Z