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Domain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloys

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Abstract

Despite the huge accumulation of scientific literature, it is inefficient and laborious to manually search it for useful information to investigate structure-activity relationships. Here, we propose an efficient text-mining framework for the discovery of credible and valuable domain knowledge from abstracts of scientific literature focusing on Nickel-based single crystal superalloys. Firstly, the credibility of abstracts is quantified in terms of source timeliness, publication authority and author’s academic standing. Next, eight entity types and domain dictionaries describing Nickel-based single crystal superalloys are predefined to realize the named entity recognition from the abstracts, achieving an accuracy of 85.10%. Thirdly, by formulating 12 naming rules for the alloy brands derived from the recognized entities, we extract the target entities and refine them as domain knowledge through the credibility analysis. Following this, we also map out the academic cooperative “Author-Literature-Institute” network, characterize the generations of Nickel-based single crystal superalloys, as well as obtain the fractions of the most important chemical elements in superalloys. The extracted rich and diverse knowledge of Nickel-based single crystal superalloys provides important insights toward understanding the structure-activity relationships for Nickel-based single crystal superalloys and is expected to accelerate the design and discovery of novel superalloys.

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Author information

Authors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China

    Yue Liu, Lin Ding, ZhengWei Yang, XianYuan Ge & DaHui Liu

  2. Shanghai Engineering Research Center of Intelligent Computing System, Shanghai, 200444, China

    Yue Liu

  3. State Key Laboratory of Advanced Special Steel & Shanghai Key Laboratory of Advanced Ferrometallurgy & School of Materials Science and Engineering, Shanghai University, Shanghai, 200444, China

    SiQi Shi

  4. Materials Genome Institute, Shanghai University, Shanghai, 200444, China

    Wei Liu & SiQi Shi

  5. Institute of Functional Materials, Central Iron & Steel Research Institute, Beijing, 100081, China

    Tao Yu

  6. Australian Nuclear Science and Technology Organisation, Locked Bag 2001, Kirrawee DC, NSW, 2232, Australia

    Maxim Avdeev

  7. School of Chemistry, The University of Sydney, Sydney, 2006, Australia

    Maxim Avdeev

  8. Zhejiang Laboratory, Hangzhou, 311100, China

    Yue Liu & SiQi Shi

Authors
  1. Yue Liu
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  2. Lin Ding
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  3. ZhengWei Yang
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  4. XianYuan Ge
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  5. DaHui Liu
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  6. Wei Liu
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  7. Tao Yu
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  8. Maxim Avdeev
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  9. SiQi Shi
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Corresponding author

Correspondence to SiQi Shi.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant No. 52073169), the National Key Research and Development Program of China (Grant No. 2021YFB3802101), and the Key Research Project of Zhejiang Laboratory (Grant No. 2021PE0AC02). We also appreciate the High Performance Computing Center of Shanghai University, and the Shanghai Engineering Research Center of Intelligent Computing System for providing the computing resources and technical support.

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The supporting information is available online at tech.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Domain Knowledge Discovery from Abstracts of Scientific Literature on Nickel-based Single Crystal Superalloys, approximately 5.07 MB.

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Liu, Y., Ding, L., Yang, Z. et al. Domain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloys. Sci. China Technol. Sci. 66, 1815–1830 (2023). https://doi.org/10.1007/s11431-022-2283-7

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  • DOI: https://doi.org/10.1007/s11431-022-2283-7

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