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RESEARCH PAPER · npj Computational Materials · 2021

An infrastructure with user-centered presentation data model for integrated management of materials data and services

Shilong Liu, Yanjing Su, Haiqing Yin, Dawei Zhang, Jie He, Haiyou Huang, Xue Feng Jiang, Xuan Wang, Haiyan Gong, Zhuang Li, Hao Xiu, Jiawang Wan, Xiaotong Zhang

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42 direct citing works

An infrastructure with user-centered presentation data model for integrated management of materials data and servicesOriginalModelling of phase stability: integrating computational materials science and materials informatics3Reviewing machine learning of corrosion prediction in a data-oriented perspective250A review of the recent progress in battery informatics178Predicting the corrosion properties of cast and hot isostatic pressed CoCrMo/W alloys in seawater by machine learning4A repository for the publication and sharing of heterogeneous materials data24A secured big-data sharing platform for materials genome engineering: State-of-the-art, challenges and architecture28Computational and data-driven modelling of solid polymer electrolytes21MINE is a method for detecting spatial density of regulatory chromatin interactions based on a multi-modal network5Improving the Performance of Cold-Start Recommendation by Fusion of Attention Network and Meta-Learning14How to lead R&D digital transformation in a chemical corporation4Calculating the spatial density of regulatory chromatin interactions using multi-modal datasets from the same cell line0Advances in machine learning- and artificial intelligence-assisted material design of steels109Materials Data Typology2Multi-objective performance prediction based on a self-constructed Al-Si alloy dataset0FFMDFPA: A FAIRification Framework for Materials Data with No-Code Flexible Semi-Structured Parser and Application Programming Interfaces5Data‐driven and artificial intelligence accelerated steel material research and intelligent manufacturing technology78Prospects of materials genome engineering frontiers71Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications0Supporting Data Discovery: Comparing Perspectives of Support Specialists and Researchers1S-MBDA: A Blockchain-Based Architecture for Secure Storage and Sharing of Material Big Data12Rapid estimation of γ' solvus temperature for composition design of Ni-based superalloy via physics-informed generative artificial intelligence7Illustrating an Effective Workflow for Accelerated Materials Discovery14A materials terminology knowledge graph automatically constructed from text corpus21Machine learning studies for magnetic compositionally complex alloys: A critical review33MatSwarm: trusted swarm transfer learning driven materials computation for secure big data sharing12Construction and application of materials database under data-driven research paradigm3Machine learning design of 400 MPa grade biodegradable Zn-Mn based alloys with appropriate corrosion rates16AI4Materials: Transforming the landscape of materials science and enigneering25Semi-automatic construction of heterogeneous data schema based on structure and context-aware recommendation3Applications of natural language processing and large language models in materials discovery132Machine learning-assisted interfacial modulation and configuration design of metal matrix composites: A review8Enable Non-Technical End Users to Define, Publish and Share Their Own Scientific Data: Data Model and Interaction with High Usability0Machine learning enhanced atom probe tomography analysis15Blockchain Technology for Big-data Sharing in Material Genome Engineering2An Artificial Joint Material Database Based on Dynamic Heterogeneous Data Architecture0Towards a sustainable high-quality materials data ecosystem: frameworks and strategies6Machine learning in magnetism: Progress, challenges, and perspectives2SContainer: A document data model for GUI-based schema building in the sharing of generic scientific research data1A labelled property graph framework for managing vitrimer formulation-, manufacturing-, and material-data: a proof-of-concept study on glass transition temperature0

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  1. Modelling of phase stability: integrating computational materials science and materials informatics

    Journal of Materials Informatics · 2021-01-01

    Xiaoyan Song, Kai Guo, Hao Lu, Dong Liu, Fawei Tang

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  2. Reviewing machine learning of corrosion prediction in a data-oriented perspective

    npj Materials Degradation · 2022-01-26

    Leonardo Bertolucci Coelho, Dawei Zhang, Yves Van Ingelgem, Denis Steckelmacher, Ann Nowé, Herman Albert Terryn

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  3. A review of the recent progress in battery informatics

    npj Computational Materials · 2022-02-18

    Chen Ling

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  4. Predicting the corrosion properties of cast and hot isostatic pressed CoCrMo/W alloys in seawater by machine learning

    Anti-Corrosion Methods and Materials · 2022-03-11

    Xue Feng Jiang, Yu Jing Yan, Yanjing Su

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  5. A repository for the publication and sharing of heterogeneous materials data

    Scientific Data · 2022-12-27

    Haiyan Gong, Jie He, Xiaotong Zhang, Lei Duan, Ziqi Tian, Wei Ming Zhao, Fuzhou Gong, Tong Liu, Zongguo Wang, Haifeng Zhao, Weipeng Jia, Lei Zhang, Xue Feng Jiang, Wencong Chen, Shilong Liu, Hao Xiu, Wenjin Yang, Jiawang Wan

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  6. A secured big-data sharing platform for materials genome engineering: State-of-the-art, challenges and architecture

    Future Generation Computer Systems · 2022-12-29

    Ran Wang, Cheng Xu, Runshi Dong, Zhenghui Luo, Rong Zheng, Xiaotong Zhang

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  7. Computational and data-driven modelling of solid polymer electrolytes

    Digital Discovery · 2023-01-01

    Kaiyang Wang, Haoyuan Shi, Tianjiao Li, Liming Zhao, Hanfeng Zhai, Deepa Korani, Jingjie Yeo

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  8. MINE is a method for detecting spatial density of regulatory chromatin interactions based on a multi-modal network

    Cell Reports Methods · 2023-01-01

    Haiyan Gong, Minghong Li, Mengdie Ji, Xiaotong Zhang, Zan Yuan, Sichen Zhang, Yi Yang, Chun Li, Yang Chen

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  9. Improving the Performance of Cold-Start Recommendation by Fusion of Attention Network and Meta-Learning

    Electronics · 2023-01-11

    Shilong Liu, Yang Liu, Xiaotong Zhang, Cheng Xu, Jie He, Yue Qi

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  10. How to lead R&D digital transformation in a chemical corporation

    MRS Advances · 2023-02-06

    Shimpei Takemoto, Yoshishige Okuno

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  11. Calculating the spatial density of regulatory chromatin interactions using multi-modal datasets from the same cell line

    STAR Protocols · 2023-03-30

    Haiyan Gong, Minghong Li, Mengdie Ji, Xiaotong Zhang, Zan Yuan, Sichen Zhang, Yi Yang, Chun Li, Yang Chen

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  12. Advances in machine learning- and artificial intelligence-assisted material design of steels

    International Journal of Minerals Metallurgy and Materials · 2023-04-18

    Guangfei Pan, Feiyang Wang, Chunlei Shang, Hong‐Hui Wu, Guilin Wu, Junheng Gao, Shuize Wang, Zhijun Gao, Xiaoye Zhou, Xinping Mao

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  13. Materials Data Typology

    Automatic Documentation and Mathematical Linguistics · 2023-06-01

    Adilbek Omirbekovich Erkimbaev, Vladimir Yu. Zitserman, Г. А. Кобзев

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  14. Multi-objective performance prediction based on a self-constructed Al-Si alloy dataset

    International Conference on Information Systems and Computing Technology (ISCTech) · 2023-07-30

    Dan Mei Hu, Yingli Liu, Tao Shen

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  15. FFMDFPA: A FAIRification Framework for Materials Data with No-Code Flexible Semi-Structured Parser and Application Programming Interfaces

    Journal of Chemical Information and Modeling · 2023-08-07

    Bing He, Zhuming Gong, Maxim Avdeev, Siqi Shi

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  16. Data‐driven and artificial intelligence accelerated steel material research and intelligent manufacturing technology

    Materials Genome Engineering Advances · 2023-09-01

    Xiaoxiao Geng, Feiyang Wang, Hong‐Hui Wu, Shuize Wang, Guilin Wu, Junheng Gao, Haitao Zhao, Chaolei Zhang, Xinping Mao

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  17. Prospects of materials genome engineering frontiers

    Materials Genome Engineering Advances · 2023-12-01

    Jianxin Xie

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  18. Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications

    Journal of Computational and Data-Driven Materials Engineering · 2024-01-01

    Maria Hernandez, Carlos Vega

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  19. Supporting Data Discovery: Comparing Perspectives of Support Specialists and Researchers

    Data Science Journal · 2024-01-01

    Guangyuan Sun, Tanja Friedrich, Kathleen Gregory, Brigitte Mathiak

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  20. S-MBDA: A Blockchain-Based Architecture for Secure Storage and Sharing of Material Big Data

    IEEE Internet of Things Journal · 2024-01-19

    Ran Wang, Cheng Xu, Fangwen Ye, S.H. Tang, Xiaotong Zhang

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  21. Rapid estimation of γ' solvus temperature for composition design of Ni-based superalloy via physics-informed generative artificial intelligence

    Journal of Alloys and Metallurgical Systems · 2024-04-21

    Yunfei Ren, Tao Hu, Songzhe Xu, Chaoyue Chen, Weidong Xuan, Zhongming Ren

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  22. Illustrating an Effective Workflow for Accelerated Materials Discovery

    Integrating materials and manufacturing innovation · 2024-06-01

    Mrinalini Mulukutla, A. Nicole Person, Sven Voigt, Lindsey A. Kuettner, Branden B. Kappes, Danial Khatamsaz, Robert Robinson, Daniel Salas, Wenle Xu, Daniel Lewis, Hongkyu Eoh, Kailu Xiao, Haoren Wang, Jaskaran Singh Saini, Raj Mahat, Trevor Hastings, Matthew Skokan, Vahid Attari, Michael Elverud, James D. Paramore, Brady G. Butler, Kenneth S. Vecchio, Surya R. Kalidindi, Douglas Allaire, İbrahim Karaman, Edwin L. Thomas, George M. Pharr, Ankit Srivastava, Raymundo Arróyave

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  23. 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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  24. Machine learning studies for magnetic compositionally complex alloys: A critical review

    Progress in Materials Science · 2024-06-26

    Xin Li, C.H. Shek, Peter Kaehuei Liaw, Guangcun Shan

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  25. MatSwarm: trusted swarm transfer learning driven materials computation for secure big data sharing

    Nature Communications · 2024-10-28

    Ran Wang, Cheng Xu, Shuhao Zhang, Fangwen Ye, Yusen Tang, S.H. Tang, Hangning Zhang, Wendi Du, Xiaotong Zhang

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  26. Construction and application of materials database under data-driven research paradigm

    Chinese Science Bulletin (Chinese Version) · 2024-11-06

    Junjie Feng, Kun Zhou, Muchen Li, Xinjiang Wang, Lijun Zhang

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  27. Machine learning design of 400 MPa grade biodegradable Zn-Mn based alloys with appropriate corrosion rates

    International Journal of Minerals Metallurgy and Materials · 2024-11-08

    Wangzhang Chen, Wei Gou, Yageng Li, Xiangmin Li, Meng Li, Jianxin Hou, Xiaotong Zhang, Zhang‐Zhi Shi, Lu‐Ning Wang

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  28. 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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  29. Semi-automatic construction of heterogeneous data schema based on structure and context-aware recommendation

    Scientific Data · 2025-02-01

    Nan Yin, Junheng Liang, Xi Guo, Xue Feng Jiang, Jie He, Xiaotong Zhang

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  30. 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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  31. Machine learning-assisted interfacial modulation and configuration design of metal matrix composites: A review

    Materials Today Communications · 2025-04-12

    Yangyang Cheng, Rui Shu, Hongliang Sun, Min Zou, Yu Jiao, Zixuan Wu, Yang Liu, Xiaosong Jiang

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  32. Enable Non-Technical End Users to Define, Publish and Share Their Own Scientific Data: Data Model and Interaction with High Usability

    International Journal of Human-Computer Interaction · 2025-07-18

    Shilong Liu, Jie He, Xiaotong Zhang, Xi Guo, Xue Feng Jiang, Cheng Xu, Yue Qi, Lei Zhang

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  33. Machine learning enhanced atom probe tomography analysis

    Progress in Materials Science · 2025-08-21

    Yue Li, Ye Wei, Alaukik Saxena, Markus Kühbach, Christoph Freysoldt, Baptiste Gault

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  34. Blockchain Technology for Big-data Sharing in Material Genome Engineering

    Scientific Data · 2025-11-18

    Ran Wang, Fangwen Ye, S.H. Tang, Hangning Zhang, Jie He, Xiaotong Zhang, Cheng Xu

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  35. An Artificial Joint Material Database Based on Dynamic Heterogeneous Data Architecture

    IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) · 2025-12-05

    Haiyan Gong, Yuxin Tang, Hao Xiu, Xiaotong Zhang, Yageng Li

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  36. Towards a sustainable high-quality materials data ecosystem: frameworks and strategies

    National Science Review · 2026-02-13

    Bing He, Kaixuan Wang, Zhou Jiang, Yueyu Zhang, Maxim Avdeev, Siqi Shi

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  37. Machine learning in magnetism: Progress, challenges, and perspectives

    Computational Materials Science · 2026-03-19

    Chao Jiang, Weifeng Xie, M. Z. Wang, Tiege Zhou, Wendong Song, Yunliang Yue, Xuelong Hu

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  38. SContainer: A document data model for GUI-based schema building in the sharing of generic scientific research data

    Information Systems · 2026-04-25

    Wencong Chen, Xiaotong Zhang, Jie He, Cheng Xu, Yadong Wan, Haiyan Gong, Yu Zhuang

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  39. A labelled property graph framework for managing vitrimer formulation-, manufacturing-, and material-data: a proof-of-concept study on glass transition temperature

    Digital Chemical Engineering · 2026-06-24

    Bernhard Saske, Anna Katharina Sambale, Maximilian Dammann, Nina von den Berg, Sebastian Schwoch, Niklas Haßkerl, Maximilian Kretzschmar, Markus Stommel, Kristin Paetzold-Byhain

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