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RESEARCH PAPER · Acta Metallurgica Sinica (English Letters) · 2024

Machine Learning-Based Comprehensive Prediction Model for L12 Phase-Strengthened Fe–Co–Ni-Based High-Entropy Alloys

Xin Li, Chenglei Wang, Lai‐Chang Zhang, Shengfeng Zhou, Jian Huang, Mengyao Gao, Chong Liu, Mei Huang, Yatao Zhu, Hu Chen, Jingya Zhang, Zhujiang Tan

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42 direct citing works

Machine Learning-Based Comprehensive Prediction Model for L12 Phase-Strengthened Fe–Co–Ni-Based High-Entropy AlloysOriginalMachine learning prediction and experimental validation of microhardness in high-entropy alloy reinforced aluminium composite1A Review of Intelligent Design and Optimization of Metal Casting Processes14Machine learning-driven insights into the microstructure and properties of high-entropy alloys14Phase Prediction in Equimolar Quaternary Medium‐Entropy Alloys via Interpretable XGBoost Modeling0Reinforcement Learning in Materials Science: Recent Advances, Methodologies and Applications3Machine learning-assisted design of lightweight refractory high-entropy alloys: A comprehensive review50Interpretable machine learning for intrinsic mechanical properties of γ′ phase in cobalt-based superalloys3Multicomponent alloys: Coherent vs noncoherent precipitate strengthening24Development and simulation analysis of a novel aluminum alloy for heat sink applications using explainable artificial intelligence and the Calphad method0Effect of Boron Content on the Microstructure and Properties of FeCoNiCr 0.8 Al 0.2 High‐Entropy Alloys0A Comprehensive Review of Bridgman Solidification of High-Entropy Alloys0Machine learning for laser powder bed fusion of Ti-6Al-4V: A review of forming quality, microstructure, and mechanical properties prediction0

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  1. Machine learning prediction and experimental validation of microhardness in high-entropy alloy reinforced aluminium composite

    Physica Scripta · 2025-02-24

    Saravana Sundar A, Nachimuthu Radhika

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  2. A Review of Intelligent Design and Optimization of Metal Casting Processes

    Acta Metallurgica Sinica (English Letters) · 2025-06-23

    Xiaolong Pei, Hua Hou, Yuhong Zhao

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  3. Machine learning-driven insights into the microstructure and properties of high-entropy alloys

    Advanced Powder Materials · 2025-08-05

    Xiaoyi Zhang, Wenhan Zhou, Xiang Li, Tong Xu, Yongzhen Yu, Lei Zheng, Guanhua Jin, Shengli Zhang

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  4. Phase Prediction in Equimolar Quaternary Medium‐Entropy Alloys via Interpretable XGBoost Modeling

    Advanced Theory and Simulations · 2025-10-22

    Zhen Fan, Shuai Lian, Junyao Wang, Yifan Tian

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  5. Reinforcement Learning in Materials Science: Recent Advances, Methodologies and Applications

    Acta Metallurgica Sinica (English Letters) · 2025-11-11

    Jiaye Li, Xinyuan Zhang, Chunlei Shang, Xing Ran, Zhe Wang, Chengjiang Tang, Xiaohang Zhang, Mingshuo Nie, Wei Ping Xu, Xin Lu

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  6. Machine learning-assisted design of lightweight refractory high-entropy alloys: A comprehensive review

    Metals Advances · 2026-01-27

    Lei Chen, Gang Qin, Yao Chen, Qi Ming Wang, Liang Wang, Yanqing Su, Ruirun Chen

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  7. Interpretable machine learning for intrinsic mechanical properties of γ′ phase in cobalt-based superalloys

    Metals Advances · 2026-02-18

    ZhaoJing Han, Pei-Kai Gu, Qing-lian Huang, Zeyu Chen, Bo-Yang Ren, Yu-Hui Li, Can Cui, Weiwei Xu, Xing-jun LIU

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  8. Multicomponent alloys: Coherent vs noncoherent precipitate strengthening

    Progress in Materials Science · 2026-03-11

    Yasir Sohail, Jinyu Zhang, Gang Liu, Jun Sun

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  9. Development and simulation analysis of a novel aluminum alloy for heat sink applications using explainable artificial intelligence and the Calphad method

    Applied Thermal Engineering · 2026-03-27

    Yusuf Uzunoğlu, Yusuf Alaca, Özgür Özdilli, Seyfi Şevik

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  10. Effect of Boron Content on the Microstructure and Properties of FeCoNiCr 0.8 Al 0.2 High‐Entropy Alloys

    Advanced Engineering Materials · 2026-05-10

    Weijie Liu, Jingya Zhang, Chenglei Wang, Yunlong Zhang, Zhenchang Tang, Jiacheng Sun, Chaojie Liang, Ding Yang, Daxiang Li, Zijie Gao

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  11. A Comprehensive Review of Bridgman Solidification of High-Entropy Alloys

    Metals · 2026-09-08

    Shuai Chen, Guangzeng Zhang, Jianzhong Jiang, Peter Kaehuei Liaw, Yong Zhang

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  12. Machine learning for laser powder bed fusion of Ti-6Al-4V: A review of forming quality, microstructure, and mechanical properties prediction

    Metals Advances · 2026-09-18

    Pengzhi Liu, Xin Hou, Ruibo Zhang, Jiemin He, Zhiheng Du, X. R. Zhang, Shun Xu, Wei Ping Xu, Xin Lu

    Read original paper ↗ ·
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