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