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RESEARCH PAPER · npj Computational Materials · 2023

The γ/γ′ microstructure in CoNiAlCr-based superalloys using triple-objective optimization

Pei Liu, Haiyou Huang, Cheng Wen, Turab Lookman, Yanjing Su

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42 direct citing works

The γ/γ′ microstructure in CoNiAlCr-based superalloys using triple-objective optimizationOriginalRETRACTED: Exploring the Microstructural and Mechanical Properties of Next-Generation Super Alloys0Accelerating lPBF process optimisation for NiTi shape memory alloys with enhanced and controllable properties through machine learning and multi-objective methods14A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning18Identifying determinants of γ’ phase coarsening behavior in Co/CoNi-based superalloys with explainable artificial intelligence (XAI)4Construction of material phase diagram using different uncertainty estimation strategies2Multi-objective optimization in machine learning assisted materials design and discovery25Influence of Rejuvenation Heat Treatment on Creep Property for Nickel-Based Directionally Solidified Superalloy8Design of superalloys with multiple properties via multi-task learning8Design of Novel High-Strength Ni-Based Superalloys Using a Data-Driven Approach1Dispersed Generative Inverse Design: Localized Uniformity Accelerating Polymer Property-to-Processing Discovery3Lightweight Ultra‐Strength in AlFeNiTiV Complex Concentrated Alloys via Cu Microalloying‐Driven Lattice Coherency Tuning1Design of rust layer stabilizers for weathering steel guided by interpretable machine learning and Bayesian optimization7Nickel-based superalloy matrix composites fabricated by laser additive manufacturing: A critical review of recent advances and overcoming challenges14Rapid Discovery of High-Performance Additive Manufacturing Superalloys Using High-Throughput and Artificial Intelligence Methods0Preparation, Characterization, and Application of Additive Manufacturing Superalloy Data0Temperature-dependent γ′ kinetic evolution and elemental partitioning in a novel CoNi-based superalloy: an integrated CALPHAD, phase-field, and experimental study2Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives9Machine learning-driven new paradigm for Co-based superalloys3A comprehensive review of machine learning for superalloys: from data-driven prediction to intelligent design2Machine learning design of printable high-strength, high Al+Ti nickel-based superalloy0Effect of Re and Mo on the microstructural evolution and hardness of CoNiAlCr-based superalloys at 1100 °C and 1150 °C0Knowledge-guided descriptors for multi-property prediction and candidate screening of superalloys0Ti coordinated element partitioning of γ′ strengthened CoNi-based superalloys: An integrated design and experimental study0

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  1. RETRACTED: Exploring the Microstructural and Mechanical Properties of Next-Generation Super Alloys

    E3S Web of Conferences · 2023-01-01

    Kumar Abhishek, Pusuluri Harish Babu, Deepika Arora, Meenakshi Meenakshi, Hazim Y. Saeed, Sorabh Lakhanpal

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  2. Accelerating lPBF process optimisation for NiTi shape memory alloys with enhanced and controllable properties through machine learning and multi-objective methods

    Virtual and Physical Prototyping · 2024-06-19

    Zhicheng Li, Jing Zhong, Xingsong Jiang, Zhangxi Wang, Lijun Zhang

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  3. A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning

    JOM · 2024-10-10

    Junhui Zhang, Haiyan Gao, Yahui Liu, Jun Wang

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  4. Identifying determinants of γ’ phase coarsening behavior in Co/CoNi-based superalloys with explainable artificial intelligence (XAI)

    Journal of Materials Informatics · 2024-12-25

    Linlin Sun, Qingshuang Ma, Jingwen Zhang, Liming Yu, Jie Xiong, Huijun Li, Qiuzhi Gao

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  5. Construction of material phase diagram using different uncertainty estimation strategies

    Materials Letters · 2025-01-14

    Pei Liu, Hongyao Yu, Hailong Qin, Bin Shi Xu, Yixin Cheng, Jinli Xie, Haiyou Huang, Zhongnan Bi

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  6. Multi-objective optimization in machine learning assisted materials design and discovery

    Journal of Materials Informatics · 2025-03-24

    Pengcheng Xu, Yingying Ma, Wencong Lu, Minjie Li, Wenyue Zhao, Zhilong Dai

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  7. Influence of Rejuvenation Heat Treatment on Creep Property for Nickel-Based Directionally Solidified Superalloy

    Chinese Journal of Mechanical Engineering · 2025-04-15

    Rongqiao Wang, Mingrui Li, Jinchao Pan, Wenchao You, Liucheng Zhou, Yan Jie Zhao, Dianyin Hu

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  8. Design of superalloys with multiple properties via multi-task learning

    Acta Materialia · 2025-05-22

    Weiren Wang, Xue Feng Jiang, Wenyao Li, Chi Zhang, Pei Liu, Shaohan Tian, Turab Lookman, Yanjing Su

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  9. Design of Novel High-Strength Ni-Based Superalloys Using a Data-Driven Approach

    Transactions of the Indian Institute of Metals · 2025-06-24

    Jinli Xie, Hailong Qin, Pei Liu, Songyi Shi, Yixin Cheng, Zhimin Sun, Bin Xu

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  10. Dispersed Generative Inverse Design: Localized Uniformity Accelerating Polymer Property-to-Processing Discovery

    Macromolecules · 2025-10-24

    Han Liu, Liantang Li

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  11. Lightweight Ultra‐Strength in AlFeNiTiV Complex Concentrated Alloys via Cu Microalloying‐Driven Lattice Coherency Tuning

    Advanced Science · 2025-11-08

    Hongmei Chen, Weizong Bao, Jie Chen, Tao Hong, Bohua Yu, Xinxin Yang, Ning Ding, Jiayin Chen, Chaoran Wang, Zeyun Cai, Guoqiang Xie

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  12. Design of rust layer stabilizers for weathering steel guided by interpretable machine learning and Bayesian optimization

    Corrosion Science · 2025-11-26

    Yiran Li, Lingwei Ma, Zongbao Li, Xin Guo, Jingzhi Yang, Jinke Wang, J.M.C. Mol, Dawei Zhang

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  13. Nickel-based superalloy matrix composites fabricated by laser additive manufacturing: A critical review of recent advances and overcoming challenges

    Journal of Alloys and Compounds · 2025-11-28

    Chuan Guo, Wang Jingchen, Yanmin Wang, Di Wang, Chaolin Tan, He Zhang, Peng Chen, Jinxing Sun, Zeping Lv

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  14. Rapid Discovery of High-Performance Additive Manufacturing Superalloys Using High-Throughput and Artificial Intelligence Methods

    Metallurgical and Materials Transactions A · 2025-12-16

    Pei Liu, Xueting Ren, Shuai Guan, Guangbao Sun, Guohao Liu, Xin Luo, Xiao Sun, Teng An, Zhongnan Bi

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  15. Preparation, Characterization, and Application of Additive Manufacturing Superalloy Data

    ˜The œminerals, metals & materials series · 2026-01-01

    Pei Liu, ShiBo Wei, Xueting Ren, Shuai Guan, Guangbao Sun, Guohao Liu, Xin Luo, Xiao Sun, Teng An, Haiyou Huang, Zhongnan Bi

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  16. Temperature-dependent γ′ kinetic evolution and elemental partitioning in a novel CoNi-based superalloy: an integrated CALPHAD, phase-field, and experimental study

    Materials Horizons · 2026-01-01

    Kunning Niu, Zan Zhang, Sang Peng, Jiao Song, Ye Shan, Shenglong Wang, Xianshun Wu, Yongsheng Li

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  17. Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives

    Materials Science and Engineering R Reports · 2026-01-14

    Bingbing Yin, Yong Wei, Jiarui Zhu, Haoyu Ge, Shuaicheng Zhu, Yunwei Gui, Wenjing Zhang, Huadong Fu, Jinghe Xie

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  18. Machine learning-driven new paradigm for Co-based superalloys

    Journal of Materials Informatics · 2026-01-15

    Jiahao Luo, Xili liu, Qingshuang Ma, Chenghao Pei, Huiwen Yao, Jie Xiong, Qiuzhi Gao

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  19. A comprehensive review of machine learning for superalloys: from data-driven prediction to intelligent design

    Progress in Natural Science Materials International · 2026-02-01

    Linlin Sun, Jie Xiong, Qingshuang Ma, Chenghao Pei, Huijun Li, Qiuzhi Gao

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  20. Machine learning design of printable high-strength, high Al+Ti nickel-based superalloy

    Materials Science and Engineering A · 2026-07-09

    Peng Tian, Yutian Ding, Jiayu Xu, Bo Liu, Yubi Gao, Hongfei Zhang, Ruimin Li, Xiaokang Yang, Kexing Song

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  21. Effect of Re and Mo on the microstructural evolution and hardness of CoNiAlCr-based superalloys at 1100 °C and 1150 °C

    Materials Letters · 2026-08-28

    Pei Liu, ShiBo Wei, Shuai Guan, Haiyou Huang, Teng An, Xin Luo, Xiao Sun, Zhongnan Bi

    Read original paper ↗ ·

  22. Knowledge-guided descriptors for multi-property prediction and candidate screening of superalloys

    Materials Today Communications · 2026-09-01

    Weiren Wang, Xue Jiang, Yanjing Su

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  23. Ti coordinated element partitioning of γ′ strengthened CoNi-based superalloys: An integrated design and experimental study

    Materials Science and Engineering A · 2026-09-01

    Kunning Niu, Pei Liu, Zan Zhang, ShiBo Wei, Ye Shan, Shenglong Wang, Haiyou Huang, Yongsheng Li

    Read original paper ↗ ·
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