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RESEARCH PAPER · Corrosion Communications · 2025

Efficient design of hydrogen-resistant ultra-high-strength steels via active learning and multiscale characterization

Chunlei Shang, Tongbo Jiang, Hong‐Hui Wu, Faguo Hou, Shuize Wang, Gao Junheng, Haitao Zhao, Chaolei Zhang, Xinping Mao

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42 direct citing works

Efficient design of hydrogen-resistant ultra-high-strength steels via active learning and multiscale characterizationOriginalPareto-optimization of sustainable high-entropy alloys: balancing hardness and sustainability via machine learning0Advances in Generative Models for Accelerated Discovery of New Materials1Multiobjective Optimization‐Driven Design of Novel Zn Alloys Exhibiting Synergistic Enhancement of Strength and Ductility via NSGA‐III1Intelligent Material Framework for Data Mining and Performance Prediction of Invar Alloy1Predicting the Yield Strength Ratio of Spring Steels via Machine Learning With Experimental Validation1High-throughput discovery of Ti-based low thermal expansion materials via machine-learning-accelerated ab-initio molecular dynamics0Transfer learning-based prediction of high-temperature fatigue life in Fe-based structural alloys with limited data0Inclusion-microstructure-hydrogen trap synergy in pipeline steels: From hydrogen trapping kinetics to microalloying design against hydrogen-induced damage: A critical review0A federated learning–driven data fusion strategy for the hardenability prediction of gear steel0LLM‐Powered AI Agents in Materials Science: From Autonomous Design to Autonomous Experimentation0

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10 direct citing papers saved.

  1. Pareto-optimization of sustainable high-entropy alloys: balancing hardness and sustainability via machine learning

    Journal of Materials Chemistry A · 2026-01-01

    Md Mashiur Rahman, Md. Moinul Islam, S.M. Nasim Rokon, Md. Mostafa Kamal

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  2. Advances in Generative Models for Accelerated Discovery of New Materials

    cScience · 2026-03-01

    Yuan Jiang, Jinshan Li, Zhiqiang Yang, Ningxin Hou, Jun Wang, Bin Tang, Ruihao Yuan

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  3. Multiobjective Optimization‐Driven Design of Novel Zn Alloys Exhibiting Synergistic Enhancement of Strength and Ductility via NSGA‐III

    Rare Metals · 2026-05-01

    Jianxing Zhou, Ran Cui, Yaxuan Shen, Chun-zhi Pan, Ka Chun Chan, Yuk Lun Chan, Yuehua Chen, Wei JIAN, Hainan Wang, Qin-Hao Zhang, Xinkun Suo, Lu Ren

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  4. Intelligent Material Framework for Data Mining and Performance Prediction of Invar Alloy

    Rare Metals · 2026-06-01

    Tongbo Jiang, Chunlei Shang, Hong‐Hui Wu, Mingshuo Nie, Dexin Zhu, Fan Yang, Haoliang Wang, S K Wang, JS Gao, Hongyun Zhao, C ZHANG, XL Mao

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  5. Predicting the Yield Strength Ratio of Spring Steels via Machine Learning With Experimental Validation

    cScience · 2026-06-01

    Yingdong Fu, Dexin Zhu, Hong‐Hui Wu, Chunlei Shang, Shuize Wang, JS Gao, Hongyun Zhao, C ZHANG, Yuhe Huang, Xinping Mao

    Read original paper ↗ ·

  6. High-throughput discovery of Ti-based low thermal expansion materials via machine-learning-accelerated ab-initio molecular dynamics

    Acta Materialia · 2026-06-22

    Huan Liu, Ziqi Guan, Hong‐Hui Wu, Xiaoye Zhou, Ruidi Li, Haoliang Wang, Lifei Wang, Xuan Luo, Xinping Mao

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  7. Transfer learning-based prediction of high-temperature fatigue life in Fe-based structural alloys with limited data

    Journal of Materials Informatics · 2026-06-25

    Qi Wang, Chunlei Shang, Hong‐Hui Wu, Dexin Zhu, Shuize Wang, Junheng Gao, Haitao Zhao, Chaolei Zhang, Yuhe Huang, Jun Lu, Xinping Mao

    Read original paper ↗ ·

  8. Inclusion-microstructure-hydrogen trap synergy in pipeline steels: From hydrogen trapping kinetics to microalloying design against hydrogen-induced damage: A critical review

    Corrosion Science · 2026-08-08

    Haocong An, Tianqi Chen, Yongfeng Chen, Xiaogang Li, Chao Liu

    Read original paper ↗ ·

  9. A federated learning–driven data fusion strategy for the hardenability prediction of gear steel

    Journal of Materials Informatics · 2026-08-27

    Chunlei Shang, Tongbo Jiang, Lei Zhang, Hong‐Hui Wu, Binbin Wang, Shuize Wang, Junheng Gao, Haitao Zhao, Chaolei Zhang, Xinping Mao

    Read original paper ↗ ·

  10. LLM‐Powered AI Agents in Materials Science: From Autonomous Design to Autonomous Experimentation

    Advanced Functional Materials · 2026-09-10

    Tongbo Jiang, Zhengyang Zhang, Mingshuo Nie, Dexin Zhu, Erli Meng, Hong‐Hui Wu, Xinping Mao

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