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RESEARCH PAPER · npj Computational Materials · 2023

Alloy synthesis and processing by semi-supervised text mining

Weiren Wang, Xue Feng Jiang, Shaohan Tian, Pei Liu, Turab Lookman, Yanjing Su, Jianxin Xie

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42 direct citing works

Alloy synthesis and processing by semi-supervised text miningOriginalA materials terminology knowledge graph automatically constructed from text corpus21Prediction of optical properties of oxide glass combined with autoencoder and machine learning17A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning18Steel design based on a large language model57AI4Materials: Transforming the landscape of materials science and enigneering25Applications of natural language processing and large language models in materials discovery132Recent progress in the design and application of machine learning for the hydrogen evolution reaction in electrocatalysis and photocatalysis3Language models for materials discovery and sustainability: Progress, challenges, and opportunities26Design of superalloys with multiple properties via multi-task learning8Generalizable descriptors for automatic titanium alloys design by learning from texts via large language model21Closed-loop inverse design of high entropy alloys using symbolic regression-oriented optimization24Intelligent information extraction pipeline driven by large language model for building polymer processing database3LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels2Interpretable machine learning design for concurrent and significant enhancement of the mechanical properties and corrosion resistance of low-density Mg-Li alloys21Mechanical and Electrical Properties dataset of Cu-Cr-X alloys generated with automated figure data extraction3BigMixSolDB: extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline0Preparation, Characterization, and Application of Additive Manufacturing Superalloy Data0Dual engine-driven strategy for advanced copper alloy design employing large language models13Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives9Text mining-assisted machine learning prediction and experimental validation of emission wavelengths4Reconstructing living materials as a computable design space with multi-agent reasoning0Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches3Automated distillation of composition–processing–structure–performance linkages from fragmented and multi-modal materials literature1A survey of agentic materials science and engineering: where are we and where are we going?0Information extraction for materials science using large language models: A survey of recent advances and new frontiers1Machine learning approaches for electrocatalyst design in water splitting: a review for green hydrogen production1A review on the discovery and design of biodegradable alloys accelerated by machine learning0

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  1. A materials terminology knowledge graph automatically constructed from text corpus

    Scientific Data · 2024-06-07

    Yuwei Zhang, Fang-Yi Chen, Zeyi Liu, Yunzhuo Ju, Dongliang Cui, Jinyi Zhu, Xue Feng Jiang, Xi Guo, Jie He, Lei Zhang, Xiaotong Zhang, Yanjing Su

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  2. Prediction of optical properties of oxide glass combined with autoencoder and machine learning

    Journal of Non-Crystalline Solids · 2024-08-06

    Chengcheng Liu, Hang Su

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  3. A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning

    JOM · 2024-10-10

    Junhui Zhang, Haiyan Gao, Yahui Liu, Jun Wang

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  4. Steel design based on a large language model

    Acta Materialia · 2024-12-17

    Shaohan Tian, Xue Feng Jiang, Weiren Wang, Zhihua Jing, Chi Zhang, Cheng Zhang, Turab Lookman, Yanjing Su

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  5. AI4Materials: Transforming the landscape of materials science and enigneering

    Review of Materials Research · 2025-01-01

    Xue Feng Jiang, Dezhen Xue, Yang Bai, William Yi Wang, Jianjun Liu, Mingli Yang, Yanjing Su

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  6. Applications of natural language processing and large language models in materials discovery

    npj Computational Materials · 2025-03-23

    Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang, Turab Lookman, Yanjing Su

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  7. Recent progress in the design and application of machine learning for the hydrogen evolution reaction in electrocatalysis and photocatalysis

    Materials Today Communications · 2025-04-08

    Kaifeng Zhang, Xudong Wang, Yanjing Su

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  8. Language models for materials discovery and sustainability: Progress, challenges, and opportunities

    Progress in Materials Science · 2025-05-05

    Zongrui Pei, Junqi Yin, Jiaxin Zhang

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  9. Design of superalloys with multiple properties via multi-task learning

    Acta Materialia · 2025-05-22

    Weiren Wang, Xue Feng Jiang, Wenyao Li, Chi Zhang, Pei Liu, Shaohan Tian, Turab Lookman, Yanjing Su

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  10. Generalizable descriptors for automatic titanium alloys design by learning from texts via large language model

    Acta Materialia · 2025-07-02

    Ping Wang, Yuan Jiang, Weijie Liao, Rong Wang, Minjie Lai, Hongchao Kou, Xiubing Liang, Jinshan Li, Turab Lookman, Ruihao Yuan

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  11. Closed-loop inverse design of high entropy alloys using symbolic regression-oriented optimization

    Materials Today · 2025-07-15

    Shang Zhao, Jinshan Li, Jun Wang, Turab Lookman, Ruihao Yuan

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  12. Intelligent information extraction pipeline driven by large language model for building polymer processing database

    Polymer · 2025-08-02

    Zheng-Yuan Chen, Tianyi Li, Yang Yang, Hua‐Dong Huang, Hao Lin, Han Liu, Gan‐Ji Zhong, Zhong‐Ming Li

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  13. LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels

    Journal of Nuclear Materials · 2025-10-25

    Jian Zhou, Weiren Wang, Xue Feng Jiang, Bing Bai, Yanjing Su

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  14. Interpretable machine learning design for concurrent and significant enhancement of the mechanical properties and corrosion resistance of low-density Mg-Li alloys

    Journal of Magnesium and Alloys · 2025-11-08

    Lei Jiang, Wentao Zhoutai, Xinbiao Zhang, Zheng Shi, Zhilin Han, Yujie Cui, Jianxin Xie

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  15. Mechanical and Electrical Properties dataset of Cu-Cr-X alloys generated with automated figure data extraction

    Scientific Data · 2025-12-11

    Peiwen Yun, Huadong Fu, Hongtao Zhang, Lei Jiang, Xingyu Xiao, Shuaicheng Zhu, Yujiao Jia, Changtai Li, Wenjin Yang, Jianxin Xie

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  16. BigMixSolDB: extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline

    Digital Discovery · 2026-01-01

    Andrei Voinea, Anna C. M. Thöni, Elija Veenman, Wilhelm T. S. Huck, Tal Kachman, Mathijs F. J. Mabesoone

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  17. Preparation, Characterization, and Application of Additive Manufacturing Superalloy Data

    ˜The œminerals, metals & materials series · 2026-01-01

    Pei Liu, ShiBo Wei, Xueting Ren, Shuai Guan, Guangbao Sun, Guohao Liu, Xin Luo, Xiao Sun, Teng An, Haiyou Huang, Zhongnan Bi

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  18. Dual engine-driven strategy for advanced copper alloy design employing large language models

    Acta Materialia · 2026-01-03

    Fei Tan, Zixuan Zhao, Yanbin Jiang, Wenchao Zhang, Tong Xie, Wei Chen, Muzhi Ma, Y. Liu, Yanpeng Ye, Zhu Qiang Xiao, Qian Lei, Guofu Xu, Jie Ren, Yuyuan Zhao, Zhou Li

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  19. Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives

    Materials Science and Engineering R Reports · 2026-01-14

    Bingbing Yin, Yong Wei, Jiarui Zhu, Haoyu Ge, Shuaicheng Zhu, Yunwei Gui, Wenjing Zhang, Huadong Fu, Jinghe Xie

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  20. Text mining-assisted machine learning prediction and experimental validation of emission wavelengths

    npj Computational Materials · 2026-01-23

    Lin Huang, Xinyu Zhang, Shuxing Li, Rongjun Xie

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  21. Reconstructing living materials as a computable design space with multi-agent reasoning

    bioRxiv (Cold Spring Harbor Laboratory) · 2026-02-16

    Yewei Xiao, Xi Zeng, Zhaoxiang Yang, Junwei Gu, Yanhong Lu, Yujie Wang, Huilin Wen, Mingdong Chen, Zhipeng Huang, Junwei Hu, Jiaojiao Liu, Chengxiang Sha, Jinhui Xie, Hui Li, Xiang Zhu, Shenchi Zheng, Jing Zhang, Weijie Zong, Zehao He, Ying Xu, Xin Zhou, Fei Li, Hui Liu, Qiaoning He, Linlin Liu, Ziyi Yu

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  22. Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches

    Applied Sciences · 2026-05-13

    Pooya Parvizi, Alireza Mohammadi Amidi, Mohammad Reza Zangeneh, Mohammad Javad Beigrezaee, Jordi‐Roger Riba, Milad Jalilian

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  23. Automated distillation of composition–processing–structure–performance linkages from fragmented and multi-modal materials literature

    Materials & Design · 2026-05-18

    Zixuan Zhao, Fei Tan, Tong Xie, Wei Chen, Jingpeng Yu, YanPeng Ye, Zekun Liao, Guofu Xu, Byungju Lee, Yanbin Jiang, Zhou Li

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  24. A survey of agentic materials science and engineering: where are we and where are we going?

    Journal of Materials Informatics · 2026-05-26

    Jiayi Zhu, Longhan Zhang, Yizhang Zhu, Xiaotian Lin, Yifan Wu, Shimin Di, Bang Liu, Yuyu Luo, Tong‐Yi Zhang

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  25. Information extraction for materials science using large language models: A survey of recent advances and new frontiers

    Materials Today Communications · 2026-06-01

    Yutong Duan, Y L Zhang, Runjia Yu, Dongyuan Li, Satoshi Kosugi, Manabu Okumura, Kotaro Funakoshi

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  26. Machine learning approaches for electrocatalyst design in water splitting: a review for green hydrogen production

    Frontiers in Chemistry · 2026-07-31

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  27. A review on the discovery and design of biodegradable alloys accelerated by machine learning

    Applied Materials Today · 2026-08-24

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