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RESEARCH PAPER · Computational Materials Science · 2019

Application of fuzzy learning in the research of binary alloys: Revisit and validation

Huiran Zhang, Gaofeng Zhou, Shengzhou Li, Xingyue Fan, Zhiting Guo, Tao Xu, Xu Yan, Xue Chen, Dongbo Dai, Quan Qian

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Application of fuzzy learning in the research of binary alloys: Revisit and validationOriginalMachine learning-based prediction of phases in high-entropy alloys149Coupling physics in machine learning to investigate the solution behavior of binary Mg alloys65Discovery of complex oxides via automated experiments and data science37Machine learning-based prediction of phases in high-entropy alloys: A data article57Interaction of elements in dilute Mg alloys: a DFT and machine learning study25An interpretable predictive framework based on rules and machine learning: rule extraction, validation and adaptive integration with machine learning0Subgroup discovery similarity score (SDSS): A significant criterion for the integration of statistical knowledge into machine learning in materials science0

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  1. Machine learning-based prediction of phases in high-entropy alloys

    Computational Materials Science · 2020-12-18

    Ronald Machaka

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  2. Coupling physics in machine learning to investigate the solution behavior of binary Mg alloys

    Journal of Magnesium and Alloys · 2021-07-23

    Tao Chen, Qian Gao, Yuan Yuan, Tingyu Li, Qian Xi, Tingting Liu, Aitao Tang, Andy Watson, Fusheng Pan

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  3. Discovery of complex oxides via automated experiments and data science

    Proceedings of the National Academy of Sciences · 2021-09-10

    Lusann Yang, Joel A. Haber, Zan Armstrong, Samuel Yang, Kevin Kan, Lan Zhou, Matthias Hermann Richter, C. Roat, Nicholas Wagner, Marc Coram, Marc Berndl, Patrick Riley, John M. Gregoire

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  4. Machine learning-based prediction of phases in high-entropy alloys: A data article

    Data in Brief · 2021-09-16

    Ronald Machaka, Glenda Tsholofelo Motsi, Lerato Raganya, Precious Manti Radingoana, Silethelwe Chikosha

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  5. Interaction of elements in dilute Mg alloys: a DFT and machine learning study

    Journal of Materials Research and Technology · 2022-11-01

    Tao Chen, Yuan Yuan, Xiaoxi Mi, Jiajia Wu, Aitao Tang, Jingfeng Wang, Nele Moelans B, Fusheng Pan

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  6. An interpretable predictive framework based on rules and machine learning: rule extraction, validation and adaptive integration with machine learning

    Research Square · 2024-11-25

    Huiran Zhang, Mengmeng Dai, Yudian Lin, Pin Wu, Lei Huang, Huanyu Xu, Shengzhou Li, Xu Yan, Zheng Tang, Jinchang Zhang, Renchao Che, Tao Xu, Dongbo Dai

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  7. Subgroup discovery similarity score (SDSS): A significant criterion for the integration of statistical knowledge into machine learning in materials science

    Materials Today Physics · 2025-06-21

    Huiran Zhang, Mengmeng Dai, Mengmeng Dai, Yudian Lin, Pin Wu, Baoyu Xu, Pin Wu, Lei Huang, Yan Xu, Huanyu Xu, Shengzhou Li, Yan Xu, Yan Xu, Zheng Tang, Jincang Zhang, Renchao Che, Tao Xu, Dongbo Dai

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