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Materials Research Letters Volume 9, 2021 - Issue 1
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Original Reports

Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning

Zijun Qina The State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0003-0665-5924View further author information
ORCID Icon,
Zi Wanga The State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of ChinaView further author information
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Yunqiang Wangb School of Computer Science and Engineering, Central South University, Changsha, People’s Republic of ChinaView further author information
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Lina Zhangc National Laboratory of Pattern Recongnition, Institute of Automation, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Weifu Lid College of Science, Huazhong Agricultural University, Wuhan, People’s Republic of ChinaView further author information
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Jin Liub School of Computer Science and Engineering, Central South University, Changsha, People’s Republic of ChinaView further author information
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Zexin Wanga The State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of ChinaView further author information
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Zihang Lia The State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of ChinaView further author information
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Jun Pana The State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of ChinaView further author information
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Lei Zhaoe Beijing Key Laboratory of Metal Material Characterization, China Iron & Steel Research Institute, Beijing, People’s Republic of ChinaView further author information
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Feng Liua The State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of ChinaCorrespondence[email protected]
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Liming Tanf School of Metallurgy and Environment, Central South University, Changsha, People’s Republic of ChinaCorrespondence[email protected]
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Jianxin Wangb School of Computer Science and Engineering, Central South University, Changsha, People’s Republic of ChinaView further author information
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Hua Hanc National Laboratory of Pattern Recongnition, Institute of Automation, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Liang Jiangg Institute for Advanced Studies in Precision Materials, Yantai University, Yantai, People’s Republic of ChinaView further author information
&
Yong Liua The State Key Laboratory of Powder Metallurgy, Central South University, Changsha, People’s Republic of ChinaView further author information
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Pages 32-40 | Received 08 Jun 2020, Published online: 27 Sep 2020

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Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning
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