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RESEARCH PAPER · Materials Today Communications · 2023

Predicting atomic structure and mechanical properties in quinary L12-Strengthened cobalt-based superalloys using machine learning-driven first-principles calculations

Shengkun Xi, Jinxin Yu, Longke Bao, Jiahui Li, Qiuling Tao, Zhou Li, Rongpei Shi, Cuiping Wang, Xingjun Liu

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Predicting atomic structure and mechanical properties in quinary L12-Strengthened cobalt-based superalloys using machine learning-driven first-principles calculationsOriginalStudy on the Composition Design, Microstructure, Wear and Corrosion Resistant of Duplex Stainless Steels Based on Machine Learning13Facilitated the discovery of new γ/γ′ Co-based superalloys by combining first-principles and machine learning16Machine Learning-Based Computational Design Methods for High-Entropy Alloys49Machine Learning Accelerated Calculations of Alkali Metal Adsorption on AlGaN: Mixed Adatoms, Multiple Coverage, and Variable Components1Machine learning-driven new paradigm for Co-based superalloys3Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys1

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  1. Study on the Composition Design, Microstructure, Wear and Corrosion Resistant of Duplex Stainless Steels Based on Machine Learning

    Metals and Materials International · 2024-06-16

    Jing Liang, Nanying Lv, Zhina Xie, Xiuyuan Yin, Suiyuan Chen, Changsheng Liu

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  2. Facilitated the discovery of new γ/γ′ Co-based superalloys by combining first-principles and machine learning

    npj Computational Materials · 2024-11-14

    ZhaoJing Han, ShengBao Xia, Zeyu Chen, Yihui Guo, ZhaoXuan Li, Qi Huang, Xingjun Liu, Weiwei Xu

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  3. Machine Learning-Based Computational Design Methods for High-Entropy Alloys

    High Entropy Alloys & Materials · 2025-03-01

    Yan Ming Zhao, J. Y. Zhang, Peter Kaehuei Liaw, Tao Yang

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  4. Machine Learning Accelerated Calculations of Alkali Metal Adsorption on AlGaN: Mixed Adatoms, Multiple Coverage, and Variable Components

    Langmuir · 2025-09-02

    Mengqi Sheng, Yuting Dai, Xian Wu, Zhen Zhang, Yu Diao, Sihao Xia

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  5. 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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  6. Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

    Journal of Materials Informatics · 2026-01-23

    Chenggang Wu, Mingqing Liao, Xinyi Yedda Zhou, Jinwei Chen, Xiangrui Qian, Yuehua Wang, Fei Zhou, Fengjiang Wang

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