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RESEARCH PAPER · Materials Genome Engineering Advances · 2025

A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility

Yan Zhang, Shewei Xin, Wei Qiang Zhou, Xiao Wang, Yangyang Xu, Yanjing Su

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A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductilityOriginalMulti-objective optimization of corrosion resistance, strength, ductility properties of weathering steel utilizing interpretable attention-based deep learning model6Enhancing Reverse Design Ability of Functional Materials Based on Data Quality Management: Taking Biomedical Zinc Alloy as an Example0Cost-effective design of high-performance NiCoCrAlTi high-entropy alloys through Fe-mediated phase competition control: a combined experimental and first-principles study6Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning2Uncertainty estimation affects predictor selection and its calibration improves materials optimization0Multi-fidelity, active-learning assisted design of TaNbMoVW refractory high-entropy alloys with superior mechanical properties2Interpretable machine learning integrated with physicochemical feature for developing additively manufactured ultra-high strength and ductility steel1Superior Strength and Temperature-Dependent Deformation Mechanisms of NiCrPd Single-Phase Medium-Entropy Alloy0A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials0Mechanistic transition into stress-activated dynamic recrystallization as the origin for catastrophic softening in precipitation-strengthened high-entropy alloys1Machine Learning‐Accelerated Screening of VCoRu Solid‐Solution Alloy as a Superior Catalyst for Efficient Hydrogen Evolution1Fe-mediated phase stability and precipitation kinetics in NiCoCr-based multi-principal-element alloys: Microstructural evolution and high-temperature mechanical response0Breaking Extrapolation Barriers: Dual Innovations for Property and Component Design of Multi‐Component Alloy0Knowledge‐Constrained Multi‐Objective Reinforcement Learning for Simultaneous Optimization of Printability and Mechanical Properties in Additively Manufactured Superalloys0Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods0

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  1. Multi-objective optimization of corrosion resistance, strength, ductility properties of weathering steel utilizing interpretable attention-based deep learning model

    npj Materials Degradation · 2025-08-06

    Bingxiao Shi, Xin Guo, Luntao Wang, Wenbo Huang, Hong Luo, Lizhi Qin, Guowei Yang, Xuequn Cheng, Xiaogang Li

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  2. Enhancing Reverse Design Ability of Functional Materials Based on Data Quality Management: Taking Biomedical Zinc Alloy as an Example

    Materials · 2025-10-15

    Xujie Gong, Xue Feng Jiang, Shiyu Huang, Yize Wang, Lishen Ding, Yanjing Su, Yu Jing Yan

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  3. Cost-effective design of high-performance NiCoCrAlTi high-entropy alloys through Fe-mediated phase competition control: a combined experimental and first-principles study

    Materials Futures · 2025-12-09

    Yanxin Li, Meiling Liang, Yang Tong, Peter Kaehuei Liaw, Zhipeng Wang, Fanchao Meng, Shu-Ying Chen

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  4. Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning

    Materials Genome Engineering Advances · 2025-12-31

    Shuai Nie, Yixuan He, Haoxiang Liu, Xudong Liu, Haifeng Wang, Ziqing He, Menghao Yang

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  5. Uncertainty estimation affects predictor selection and its calibration improves materials optimization

    Journal of Materials Informatics · 2026-01-14

    Yuan Jiang, Jinshan Li, Tinghuan Yuan, Jun Wang, Bin Tang, Xinping Mao, Gang Li, Ruihao Yuan

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  6. Multi-fidelity, active-learning assisted design of TaNbMoVW refractory high-entropy alloys with superior mechanical properties

    Journal of Physics Materials · 2026-02-11

    Tian Jiang, Jie Xiong, Tianhao Su, Shuai Chen, Tong‐Yi Zhang

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  7. Interpretable machine learning integrated with physicochemical feature for developing additively manufactured ultra-high strength and ductility steel

    International Journal of Extreme Manufacturing · 2026-03-10

    Yating Luo, Tao Zhu, Cunliang Pan, Xu Ben, Xudong An, Xiaoming Wang, Hongmei Zhu

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  8. Superior Strength and Temperature-Dependent Deformation Mechanisms of NiCrPd Single-Phase Medium-Entropy Alloy

    Metals and Materials International · 2026-03-22

    Meiling Liang, Haoyan Meng, Yanxin Li, Jingbo Qiao, Peter Kaehuei Liaw, Yang Tong, Shuying Chen, Fanchao Meng

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  9. A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

    Advanced Science · 2026-07-20

    Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan

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  10. Mechanistic transition into stress-activated dynamic recrystallization as the origin for catastrophic softening in precipitation-strengthened high-entropy alloys

    Materials Futures · 2026-07-22

    Danni Jiang, Yanxin Li, Meiling Liang, Yang Tong, Fanchao Meng, Yanfei Gao, Shu-Ying Chen

    Read original paper ↗ ·

  11. Machine Learning‐Accelerated Screening of VCoRu Solid‐Solution Alloy as a Superior Catalyst for Efficient Hydrogen Evolution

    Materials Genome Engineering Advances · 2026-07-24

    Jie Yang, Jun Yu, Jianming Cai, Jie Li, Hui Li, Xirui Yan, Wenhao Cha, Shufeng Zhao, Zhendong Sha, S Liu

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  12. Fe-mediated phase stability and precipitation kinetics in NiCoCr-based multi-principal-element alloys: Microstructural evolution and high-temperature mechanical response

    Materials Science and Engineering A · 2026-08-13

    Shu-Ying Chen, Meiling Liang, Danni Jiang, Yang Tong, Peter Kaehuei Liaw, Weidong Li, Fanchao Meng, Shuying Chen

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  13. Breaking Extrapolation Barriers: Dual Innovations for Property and Component Design of Multi‐Component Alloy

    Materials Genome Engineering Advances · 2026-09-16

    Zhigang Yu, Boyu Zhao, Jianhua Chen, Jun Peng Luan, Yunying Fan, Xingli Zou, Xionggang Lu

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  14. Knowledge‐Constrained Multi‐Objective Reinforcement Learning for Simultaneous Optimization of Printability and Mechanical Properties in Additively Manufactured Superalloys

    Materials Genome Engineering Advances · 2026-09-25

    Pei Liu, Xueting Ren, ShiBo Wei, Shuai Guan, Guohao Liu, Teng An, Haiyou Huang, Bi Zhongnan

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  15. Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods

    Materials Genome Engineering Advances · 2026-09-26

    Ruixiao Zhang, Biao Chen, Ruihao Yuan, Yi Williams Wang, Jun Wang, Jinshan Li

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