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RESEARCH PAPER · Engineering · 2020

On the Data-Driven Materials Innovation Infrastructure

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42 direct citing works

On the Data-Driven Materials Innovation InfrastructureOriginalCyclic deformation behavior of steels with a nanolamellar microstructure and tensile strength of 1500 MPa10Modelling of phase stability: integrating computational materials science and materials informatics3Machine Learning in Magnetic Materials48A metadata schema for lattice thermal conductivity from first-principles calculations11High-Performance Oxygen Evolution Reaction Electrocatalysts Discovered via High-Throughput Aerogel Synthesis19Intelligent Manufacturing for High-End New Materials: Opportunities and Directions2Small data machine learning in materials science866Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity15High throughput characterization method of electrical and phonon properties by dielectric resonant spectroscopy5AI-driven new materials development and data standardization4Mechanism-Data Co-Driven Sensing of Key Process Indicators in Metal Smelting1Active Learning-Assisted High-Throughput Construction of Multi-Component Non-Equilibrium Phase Maps0

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  1. Cyclic deformation behavior of steels with a nanolamellar microstructure and tensile strength of 1500 MPa

    Materials Science and Engineering A · 2020-08-20

    Jiali Zhao, Fucheng Zhang, Chen Chen, Mingming Wang, Shule Xia, Bo Lv

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  2. 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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  3. Machine Learning in Magnetic Materials

    physica status solidi (b) · 2021-05-05

    Georgios Katsikas, C. Sarafidis, Joseph Kioseoglou

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  4. A metadata schema for lattice thermal conductivity from first-principles calculations

    Journal of Materials Informatics · 2022-01-01

    Yongchao Rao, Yongchao Lu, Lanting T. Zhang, Shenghong Ju, Ning Yu, Aimin Zhang, Li Chen, Hong Wang

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  5. High-Performance Oxygen Evolution Reaction Electrocatalysts Discovered via High-Throughput Aerogel Synthesis

    ACS Catalysis · 2022-12-22

    Zhuyang Chen, Chen Guang Xu, Fu Zhao, Shibo Xi, Weixuan Li, Mingcheng Huang, Bijun Cai, Meng Danny Gu, Hsing‐Lin Wang, X.‐D. Xiang

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  6. Intelligent Manufacturing for High-End New Materials: Opportunities and Directions

    Strategic Study of CAE · 2023-01-01

    Baode Sun, Da Shu, Huadong Fu, Donghong Wang, Liming Peng, Xinyun Wang, Yanyan Zhu, Huaming Wang, Wenjiang Ding, Jianxin Xie

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  7. Small data machine learning in materials science

    npj Computational Materials · 2023-03-25

    Pengcheng Xu, Xiaobo Ji, Minjie Li, Wencong Lu

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  8. Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity

    Journal of Applied Physics · 2024-05-06

    Xiang Yi Huang, Shenghong Ju

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  9. High throughput characterization method of electrical and phonon properties by dielectric resonant spectroscopy

    Materials Genome Engineering Advances · 2025-04-16

    Ziru Wang, Mingyang Qin, Peng Zhang, Yiguo Xu, Shiting Que, Feng Yun Yan, X.‐D. Xiang

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  10. AI-driven new materials development and data standardization

    Chinese Science Bulletin (Chinese Version) · 2025-07-01

    Lanting Zhang, Mingyang Liu, Hongjian Yuan, Hong Wang

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  11. Mechanism-Data Co-Driven Sensing of Key Process Indicators in Metal Smelting

    International Conference on Industrial Artificial Intelligence (IAI) · 2025-08-21

    Zexin Chen, Bei Sun, Yuxi Gao, Fa‐Kun Zheng, Yi Ke

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  12. Active Learning-Assisted High-Throughput Construction of Multi-Component Non-Equilibrium Phase Maps

    Engineering · 2026-06-01

    Qingyun Hu, Jian Hui, Yingkai Jiao, Yang Ren, Hong Wang

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