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RESEARCH PAPER · Journal of Materials Research and Technology · 2024

Machine-learning synergy in high-entropy alloys: A review

Sally Elkatatny, Walaa Abd‐Elaziem, Tamer Ali Sebaey, Moustafa A. Darwish, Atef Saad Hamada

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Machine-learning synergy in high-entropy alloys: A reviewOriginalRecent machine learning-driven investigations into high entropy alloys: A comprehensive review37Applications of machine learning in high-entropy alloys: a review of recent advances in design, discovery, and characterization41Machine Learning for the Design of High Entropy Alloys: A Review3Zinc electrode manufacturing quality control with machine learning: Using SMOTE & image augmentation to prevent overfitting9Machine Learning–Based Prediction of Complex Combination Phases in High-Entropy Alloys5Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning5Machine learning-integrated modeling of thermal properties and relaxation dynamics in metallic glasses6Performance and predictive modeling of surface carbonized plant fiber reinforced alkali-activated self-insulating mortar1Data Science in Order and Disorder of High-Entropy Materials4The prospect and limitation of high entropy alloy as 4th industrial material33Machine learning for obtaining values of thermomechanical processing parameters of high-entropy alloys with desirable strength and ductility13Mechanical properties simulation of AlCrCoFeNi high-entropy alloy by a viscoelastic spring lattice model4Review of machine learning-assisted multi-property design of high-entropy alloys: phase structure, mechanical, tribological, corrosion, and hydrogen storage properties18Artificial intelligence in high-entropy materials9Machine learning-driven insights into the microstructure and properties of high-entropy alloys14Machine-Learning-Driven Prediction of Formation Energy and Compositional Design for IrRuRhMoW High-Entropy Alloys5Accurate and uncertainty-aware multi-task prediction of HEA properties using prior-guided deep Gaussian processes6Superior strength-ductility synergy in metastable high-entropy alloys: The crucial role of FCC to BCC martensitic phase transformation23A snapshot of high-entropy alloy processing techniques and their effects on resulting mechanical properties8Phase Identification and Hardness Prediction of Al-Cr-Fe-Ni-Cu-Si High-Entropy Alloys Guided by Explainable Machine Learning1Latest Advancements and Mechanistic Insights into High-Entropy Alloys: Design, Properties and Applications42A Mini Review on Evolution of High‐Entropy Alloy Design: From Experimental Approaches to Machine Learning Integration4A Review on Additive Manufacturing of Ti‐Containing High‐Entropy Alloys: Processing, Microstructure, and Mechanical Behavior0Accelerated prediction of elastic constants in cubic crystals via interpretable machine learning: From metallic alloys to broader material systems1Deep learning for high-entropy alloys: Phase prediction and feature interpretability through hyperparameter optimization0Machine learning-assisted design of lightweight refractory high-entropy alloys: A comprehensive review50Large Language Models for High-Entropy Alloys: Literature Mining, Design Orchestration, and Evaluation Standards2A machine learning method to predict grain refinement and hardness of severely deformed materials6Reimagining Orthopaedic Implants: Mechanobiochemical Innovations to Overcome Stress Shielding6Machine-learning-assisted design of high-hardness high-entropy alloys based on component space screening5High-throughput computational and machine-learning design of high-entropy alloys based on thermodynamic and empirical parameters: Al-Si-Cr-Fe-(Ni,Mn) systems3Accelerating phase prediction via CALPHAD-informed machine learning and data augmentation3Machine learning-assisted high-throughput exploration of single-phase high-entropy alloys2Performance and Prediction Modeling of Environmentally Friendly Straw Retarder for Geopolymer Cement0Leveraging microstructure as a learnable bridge for inverse design of high-hardness alloys via deep reinforcement learning0Noise augmented machine learning for predicting ageing hardening behavior of Mg–Gd alloys: From data scarcity to physically interpretable modelling0Machine learning-driven accelerated discovery of high-entropy alloys: From composition engineering to multifunctional property prediction0Research Progress on the Strength and Ductility of High-Entropy Alloys0Phase Formation, Microstructural Evolution, and Surface Performance of High-Entropy Alloys for Electrocatalysis and Corrosion Resistance: A Review0Data-Driven Phase Prediction of BCC Refractory High-Entropy Alloys for Advanced Engineering Applications0Data-driven modeling on design and frictional response of high-entropy alloys through material composition variation0A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys0Machine learning for high-performance alloy design: A review0

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  1. Recent machine learning-driven investigations into high entropy alloys: A comprehensive review

    Journal of Alloys and Compounds · 2024-11-28

    Yonggang Yan, Xunxiang Hu, Yalin Liao, Yanyao Zhou, Wenhao He, Ting Zhou

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  2. Applications of machine learning in high-entropy alloys: a review of recent advances in design, discovery, and characterization

    Nanoscale · 2025-01-01

    Mohammad Hossein Golbabaei, Mohammad Zohrevand, Ning Zhang

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  3. Machine Learning for the Design of High Entropy Alloys: A Review

    World Scientific Annual Review of Functional Materials · 2025-01-01

    Si Rong Ng, Verner Soh, Zhongji Sun, Pei Wang, Chee Koon Ng

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  4. Zinc electrode manufacturing quality control with machine learning: Using SMOTE & image augmentation to prevent overfitting

    Journal of Engineering Research · 2025-01-11

    Lola Azoulay-Younes, Anesu Nyabadza, Mercedes Vázquez, Dermot Brabazon

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  5. Machine Learning–Based Prediction of Complex Combination Phases in High-Entropy Alloys

    Metals · 2025-02-20

    Jirapracha Thampiriyanon, Sakhob Khumkoa

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  6. Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning

    Journal of Materials Research and Technology · 2025-03-01

    Kang Xu, Zhengming Sun, Jian Tu, Wenwang Wu, Huihui Yang

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  7. Machine learning-integrated modeling of thermal properties and relaxation dynamics in metallic glasses

    Materials Today Communications · 2025-04-01

    Ngo T. Que, Anh Duc Phan, Truyen Tran, Phạm Thành Huy, Mai Xuan Trang, Thien Van Luong

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  8. Performance and predictive modeling of surface carbonized plant fiber reinforced alkali-activated self-insulating mortar

    Scientific Reports · 2025-04-21

    Shuang Song, Shibo Wang, Ming Xuan Gao, Jingyao Li

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  9. Data Science in Order and Disorder of High-Entropy Materials

    Metals · 2025-06-03

    Jiasheng Wang, Jianzhong Jiang, Peter Kaehuei Liaw, Guihong Geng, Yong Zhang

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  10. The prospect and limitation of high entropy alloy as 4th industrial material

    Materials Today Sustainability · 2025-06-23

    Emmanuel Olorundaisi, Peter Apata Olubambi

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  11. Machine learning for obtaining values of thermomechanical processing parameters of high-entropy alloys with desirable strength and ductility

    Intermetallics · 2025-06-27

    Zolfaghar Ali Akhlaghi, Hamed Shahmir, Ahmad R. Sharafat

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  12. Mechanical properties simulation of AlCrCoFeNi high-entropy alloy by a viscoelastic spring lattice model

    Journal of Materials Research and Technology · 2025-07-01

    Zhuoran Xu, Hu Xu, Yongmin Huang

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  13. Review of machine learning-assisted multi-property design of high-entropy alloys: phase structure, mechanical, tribological, corrosion, and hydrogen storage properties

    Journal of Materials Research and Technology · 2025-07-01

    Yunlong Li, Jialiang Tan, Qian Cheng, Xiaochao Liu, Rui Nie

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  14. Artificial intelligence in high-entropy materials

    Next Materials · 2025-07-26

    Jiasheng Wang, Yong Zhang

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  15. 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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  16. Machine-Learning-Driven Prediction of Formation Energy and Compositional Design for IrRuRhMoW High-Entropy Alloys

    Langmuir · 2025-08-08

    Yihao Zheng, Xiangcui Qiu, Haibo Li, Konggang Qu, Hui Yan, Rui Li

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  17. Accurate and uncertainty-aware multi-task prediction of HEA properties using prior-guided deep Gaussian processes

    npj Computational Materials · 2025-10-16

    Sk Md Ahnaf Akif Alvi, Mrinalini Mulukutla, Nicolás Vicente Flores, Danial Khatamsaz, Jan Janssen, Danny Pérez, Douglas Allaire, Vahid Attari, Raymundo Arróyave

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  18. Superior strength-ductility synergy in metastable high-entropy alloys: The crucial role of FCC to BCC martensitic phase transformation

    Journal of Alloys and Compounds · 2025-10-17

    Alireza Jalali, Mohammad Sajad Mehranpour, Alireza Kalhor, Mohammad Javad Sohrabi, Ali Heydarinia, Farhad Hasanabadi, Hamed Mirzadeh, Mehdi Malekan, Mahmoud Sarkari Khorrami, Vahid Fallah, Kinga Rodak, Hyoung Seop Kim

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  19. A snapshot of high-entropy alloy processing techniques and their effects on resulting mechanical properties

    Journal of Materials Research and Technology · 2025-10-25

    Christopher W. Mathews, Ishtiaque Karim Robin, Spencer Doran, Osman El Atwani, Matheus A. Tunes, Saryu Jindal Fensin

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  20. Phase Identification and Hardness Prediction of Al-Cr-Fe-Ni-Cu-Si High-Entropy Alloys Guided by Explainable Machine Learning

    JOM · 2025-10-27

    Tianming Li, Mengdi Zhang, Hanqing Xu, Zhuoyi Wang, Xin Yi Zhao

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  21. Latest Advancements and Mechanistic Insights into High-Entropy Alloys: Design, Properties and Applications

    Materials · 2025-12-14

    Anthoula Poulia, A. E. Karantzalis

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  22. A Mini Review on Evolution of High‐Entropy Alloy Design: From Experimental Approaches to Machine Learning Integration

    Rare Metals · 2025-12-25

    Chrispin Ouko Zamzu, Zhe Jia, Baolong Shen

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  23. A Review on Additive Manufacturing of Ti‐Containing High‐Entropy Alloys: Processing, Microstructure, and Mechanical Behavior

    Advances in Materials Science and Engineering · 2026-01-01

    Anel Zhumabekova, Andrei Yankin, Asma Perveen, Assem Zhumagaliyeva, Nurkhat Zhakiyev, Didier Talamona

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  24. Accelerated prediction of elastic constants in cubic crystals via interpretable machine learning: From metallic alloys to broader material systems

    Materials Chemistry and Physics · 2026-01-12

    GuoFa Shen, Yutao Liu, Tinghong Gao

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  25. Deep learning for high-entropy alloys: Phase prediction and feature interpretability through hyperparameter optimization

    Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2026-01-23

    Naman Jain, Siddharth Jain, Akarsh Verma

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  26. 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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  27. Large Language Models for High-Entropy Alloys: Literature Mining, Design Orchestration, and Evaluation Standards

    Metals · 2026-01-29

    Yutong GUO, Chao Yang

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  28. A machine learning method to predict grain refinement and hardness of severely deformed materials

    Materials Science and Engineering A · 2026-01-30

    Hamed Shahmir, Sina Kooshamanesh, Terence G. Langdon

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  29. Reimagining Orthopaedic Implants: Mechanobiochemical Innovations to Overcome Stress Shielding

    Progress in Materials Science · 2026-02-18

    Amrit Raj Paul, Sunil Mehla, Maciej Mazur, Milan Brandt, Peter Choong, Suresh Kumar Bhargava

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  30. Machine-learning-assisted design of high-hardness high-entropy alloys based on component space screening

    Materials & Design · 2026-02-26

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  31. High-throughput computational and machine-learning design of high-entropy alloys based on thermodynamic and empirical parameters: Al-Si-Cr-Fe-(Ni,Mn) systems

    Intermetallics · 2026-05-14

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  32. Accelerating phase prediction via CALPHAD-informed machine learning and data augmentation

    Computational Materials Science · 2026-06-04

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  33. Machine learning-assisted high-throughput exploration of single-phase high-entropy alloys

    Journal of Materials Science · 2026-06-15

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  34. Performance and Prediction Modeling of Environmentally Friendly Straw Retarder for Geopolymer Cement

    Journal of Materials in Civil Engineering · 2026-06-23

    Shangda Chen, Shuang Song, Jingyao Li

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  35. Leveraging microstructure as a learnable bridge for inverse design of high-hardness alloys via deep reinforcement learning

    Materials Today Communications · 2026-07-01

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  36. Noise augmented machine learning for predicting ageing hardening behavior of Mg–Gd alloys: From data scarcity to physically interpretable modelling

    Journal of Materials Research and Technology · 2026-07-01

    Dongfa Qiao, Dongxu Qiao, Xintong Luo, Fengyang Gao, Yuhui Zhang

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  37. Machine learning-driven accelerated discovery of high-entropy alloys: From composition engineering to multifunctional property prediction

    Journal of Alloys and Compounds · 2026-08-12

    Reliance Jain, Rakesh Arya, Ahmed Farid Ibrahim, M.A. Hussein

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  38. Research Progress on the Strength and Ductility of High-Entropy Alloys

    Journal of Materials Engineering and Performance · 2026-08-18

    Lipeng Wang, Pengyan Mao, Yuxin Yang, Yuyang Ma, Hui Zhao

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  39. Phase Formation, Microstructural Evolution, and Surface Performance of High-Entropy Alloys for Electrocatalysis and Corrosion Resistance: A Review

    Alloys · 2026-08-20

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  40. Data-Driven Phase Prediction of BCC Refractory High-Entropy Alloys for Advanced Engineering Applications

    Transactions of the Indian Institute of Metals · 2026-08-28

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  41. Data-driven modeling on design and frictional response of high-entropy alloys through material composition variation

    Tribology International · 2026-08-29

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  42. A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys

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  43. Machine learning for high-performance alloy design: A review

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